GeForce GT 640 vs GeForce GTX TITAN Black: 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 GT 640 is better2
Board power 185 W lower65 W (TDP) vs 250 W (TDP)
Launch price $900 lower$99 vs $999
Where GeForce GTX TITAN Black is better4
Shader units 2,496 more2,880 (CUDA cores) vs 384 (CUDA cores)
Video memory 4 GB more6 GB vs 2 GB
Memory bus 256 bit more384 bit vs 128 bit
Memory bandwidth 307.5 GB/s more336 GB/s vs 28.5 GB/s
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
Blender Benchmark 2.90
GPU, bmw27 (CUDA) · s, lower is better
GeForce GT 6401,209.9 sGeForce GTX TITAN Black123.2 sNo advantage conclusion: small sample in one of the results.
About the measurement and source
- A · NVIDIA GeForce GT 640
1,209.9 s · community measurement, sample 2 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 2 submissions (0 outliers excluded), interquartile range 1153.11–1266.63; submissions 2020-12-16 to 2020-12-26; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce GTX TITAN Black
123.2 s · community measurement, sample 1 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 1 submissions (0 outliers excluded), interquartile range 123.19–123.19; submissions 2020-09-04 to 2020-09-04; 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 (27)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 1,241.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 1,298.5 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 6,499.8 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 3,537.9 | 250.7 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 36.7 | 465.5 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 31.9 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | — | 1,300.2 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | — | 114.5 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | — | 126.9 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | — | 122.5 | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | — | 404.1 | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | — | 496.9 | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | — | 437 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | — | 228.7 | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | — | 287.7 | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | — | 454.7 | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | — | 572.9 | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | — | 468.2 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | — | 644.5 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | — | 818.7 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | — | 707.6 | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | — | 1,017.9 | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | — | 1,234.1 | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | — | 1,089 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 472.4 | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 467.8 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 423.2 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GT 640 | B · GeForce GTX TITAN Black | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GK107-300-A2 | GK110-430-B1 | differs |
| Architecture | Kepler | Kepler | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 384 (CUDA cores) | 2,880 (CUDA cores) | B: 2,496 more |
| Clocks | |||
| Base clock | 902 MHz | 889 MHz | A: 13 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 | 980 MHz | no data for A |
| Memory | |||
| Video memory | 2 GB | 6 GB | B: 4 GB more |
| Memory type | DDR3 | GDDR5 | differs |
| Memory bus | 128 bit | 384 bit | B: 256 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 28.5 GB/s | 336 GB/s | B: 307.5 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. | 65 W (TDP) | 250 W (TDP) | B: 185 W higher |
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 | equal |
Chip
GPU chip
AGK107-300-A2
BGK110-430-B1
differsArchitecture
AKepler
BKepler
equalShader units
A384 (CUDA cores)
B2,880 (CUDA cores)
B: 2,496 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A902 MHz
B889 MHz
A: 13 MHz moreBoost clock
Ano data
B980 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
A2 GB
B6 GB
B: 4 GB moreMemory type
ADDR3
BGDDR5
differsMemory bus
A128 bit
B384 bit
B: 256 bit moreMemory bandwidth
A28.5 GB/s
B336 GB/s
B: 307.5 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A65 W (TDP)
B250 W (TDP)
B: 185 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
How much video memory do NVIDIA GeForce GT 640 and NVIDIA GeForce GTX TITAN Black have?
NVIDIA GeForce GT 640: 2 GB DDR3, 128-bit bus. NVIDIA GeForce GTX TITAN Black: 6 GB GDDR5, 384-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GT 640: PCIe 3.0 x16. NVIDIA GeForce GTX TITAN Black: PCIe 3.0 x16.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce GT 640, specifications of NVIDIA GeForce GTX TITAN Black, release date and launch pricechecked November 14, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 4.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.