GeForce 840M vs GeForce RTX 2070 SUPER Max-Q: specs and benchmark comparison
Short verdict
Not enough data for a performance conclusion: the database has no comparable benchmarks for this pair. Below are the key differences in official specifications.
Compare with AIAdvantages
Only measured and rated values: a noticeable benchmark gap and specs where more is better.
Where GeForce 840M is better1
Board power 50 W lower30 W (TDP) vs 80 W (TDP)
Where GeForce RTX 2070 SUPER Max-Q is better2
Memory bus 192 bit more256 bit vs 64 bit
Memory bandwidth 432 GB/s more448 GB/s vs 16 GB/s
Benchmarks
Results are compared within one benchmark, one version and the same conditions. Laptop chip results depend on the laptop model: its maker sets the power limit and cooling.
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce 840M716.1 sGeForce RTX 2070 SUPER Max-Q50 sNo advantage conclusion: small sample in one of the results.
About the measurement and source
- A · NVIDIA GeForce 840M
716.1 s · community measurement, sample 1 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 1 submissions (0 outliers excluded), interquartile range 716.1–716.1; submissions 2021-07-17 to 2021-07-17; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 SUPER Max-Q
50 s · community measurement, sample 3 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 3 submissions (1 outliers excluded), interquartile range 49.63–50.19; submissions 2021-08-12 to 2021-10-31; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
Reference results (84)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 868.6 | 64.6 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 889.4 | 62.1 | reference |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 893.7 | 73.2 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 860.4 | 57.2 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 991.3 | 30.3 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 2,871.8 | 206.1 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 2,953 | 215.1 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 2,554.6 | 183.5 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 1,790.4 | 120.4 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 1,979.7 | 99.3 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 3,088.4 | 198.4 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 4,657.7 | 373.7 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 98,992 | 464.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 24.7 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 66.9 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 45.1 | 1,656.2 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 47.7 | 1,421.5 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 42.8 | 1,835.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | — | 67.1 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | — | 33.6 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | — | 32.5 | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | — | 37.3 | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | — | 32.8 | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | — | 202.1 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | — | 217.1 | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | — | 205.1 | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | — | 119.9 | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | — | 123.5 | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | — | 129.1 | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | — | 122.9 | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | — | 124.7 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | — | 114.1 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | — | 118.2 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | — | 125.7 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | — | 106.7 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | — | 53.2 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | — | 54.4 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | — | 49.8 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | — | 60.5 | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | — | 59.4 | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | — | 189.6 | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | — | 201.5 | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | — | 207.3 | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | — | 175.3 | no pair |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | — | 163.9 | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | — | 95.1 | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | — | 101.3 | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | — | 107 | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | — | 203.4 | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | — | 125.3 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | — | 359.5 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | — | 362.8 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | — | 387.4 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | — | 319.3 | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | — | 294.4 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | — | 160.9 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | — | 163.1 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | — | 142.8 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | — | 153.8 | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | — | 159.5 | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | — | 472.2 | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | — | 481.8 | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | — | 480.7 | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | — | 477.9 | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | — | 424.9 | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | — | 184.1 | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | — | 192.2 | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | — | 163.4 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 267 | no pair |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | — | 217.4 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 314.3 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,238.9 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,277.3 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,731.2 | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,923.4 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,911.4 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,042.2 | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,825.8 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,879.3 | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,975.6 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,981.3 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,787.8 | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 213.1 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,816.2 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
Chip maker values. The laptop maker sets the power limit and clocks in each laptop.
| Specification | A · GeForce 840M | B · GeForce RTX 2070 SUPER Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GM108 | TU104 | differs |
| Architecture | Maxwell | Turing | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | no data | 2,560 (CUDA cores) | no data for A |
| Clocks | |||
| Base clock | 1,029 MHz | 930 MHz | A: 99 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | no data | 1,155 MHz | no data for A |
| Memory | |||
| Video memory | no data | 8 GB | no data for A |
| Memory type | DDR3 | GDDR6 | differs |
| Memory bus | 64 bit | 256 bit | B: 192 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 16 GB/s | 448 GB/s | B: 432 GB/s more |
| Power and dimensions | |||
| Board powerTGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops. | 30 W (TDP) | 80 W (TDP) | B: 50 W higher |
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 | equal |
Chip
GPU chip
AGM108
BTU104
differsArchitecture
AMaxwell
BTuring
differsShader units
Ano data
B2,560 (CUDA cores)
no data for AShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,029 MHz
B930 MHz
A: 99 MHz moreBoost clock
Ano data
B1,155 MHz
no data for AClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.
Memory
Video memory
Ano data
B8 GB
no data for AMemory type
ADDR3
BGDDR6
differsMemory bus
A64 bit
B256 bit
B: 192 bit moreMemory bandwidth
A16 GB/s
B448 GB/s
B: 432 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A30 W (TDP)
B80 W (TDP)
B: 50 W higherTGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops.
Interface
APCIe 3.0 x16
BPCIe 3.0 x16
equal
“More” does not always mean “better”: higher power draw or size is a system requirement, not an advantage (such bars are dimmed).
Compare with AI
An AI model reviews the specs and benchmarks of this pair and gives a plain-language verdict on who each model suits.
Questions and answers
Which PCIe interface do the cards use?
NVIDIA GeForce 840M: PCIe 3.0 x16. NVIDIA GeForce RTX 2070 SUPER Max-Q: PCIe 3.0 x16.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce 840M, specifications of NVIDIA GeForce RTX 2070 SUPER Max-Q, release date and launch pricechecked November 14, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.1.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.