NVIDIA GeForce RTX 4090 vs NVIDIA Tesla V100 PCIe 32 GB
Comparative analysis of NVIDIA GeForce RTX 4090 and NVIDIA Tesla V100 PCIe 32 GB videocards for all known characteristics in the following categories: Essentials, Technical info, Video outputs and ports, Compatibility, dimensions and requirements, API support, Memory. Benchmark videocards performance analysis: PassMark - G2D Mark, PassMark - G3D Mark, 3DMark Fire Strike - Graphics Score, CompuBench 1.5 Desktop - Face Detection (mPixels/s), CompuBench 1.5 Desktop - T-Rex (Frames/s), CompuBench 1.5 Desktop - Video Composition (Frames/s), CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s), Geekbench - OpenCL, CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s), GFXBench 4.0 - Car Chase Offscreen (Frames), GFXBench 4.0 - Manhattan (Frames), GFXBench 4.0 - T-Rex (Frames), GFXBench 4.0 - Car Chase Offscreen (Fps), GFXBench 4.0 - Manhattan (Fps), GFXBench 4.0 - T-Rex (Fps).
Differences
Reasons to consider the NVIDIA GeForce RTX 4090
- Videocard is newer: launch date 4 year(s) 5 month(s) later
- Around 82% higher core clock speed: 2235 MHz vs 1230 MHz
- Around 83% higher boost clock speed: 2520 MHz vs 1380 MHz
- 2.9x more texture fill rate: 1,290 GTexel/s vs 441.6 GTexel / s
- 3.2x more pipelines: 16384 vs 5120
- A newer manufacturing process allows for a more powerful, yet cooler running videocard: 4 nm vs 12 nm
- 4x better performance in PassMark - G2D Mark: 1297 vs 327
- 4.6x better performance in PassMark - G3D Mark: 38287 vs 8260
- 2.1x better performance in CompuBench 1.5 Desktop - T-Rex (Frames/s): 98.472 vs 46.266
- Around 37% better performance in CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s): 2968.159 vs 2169.759
- Around 94% better performance in Geekbench - OpenCL: 317791 vs 163637
Specifications (specs) | |
Launch date | 20 Sep 2022 vs 27 March 2018 |
Core clock speed | 2235 MHz vs 1230 MHz |
Boost clock speed | 2520 MHz vs 1380 MHz |
Texture fill rate | 1,290 GTexel/s vs 441.6 GTexel / s |
Pipelines | 16384 vs 5120 |
Manufacturing process technology | 4 nm vs 12 nm |
Benchmarks | |
PassMark - G2D Mark | 1297 vs 327 |
PassMark - G3D Mark | 38287 vs 8260 |
CompuBench 1.5 Desktop - T-Rex (Frames/s) | 98.472 vs 46.266 |
CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s) | 2968.159 vs 2169.759 |
Geekbench - OpenCL | 317791 vs 163637 |
Reasons to consider the NVIDIA Tesla V100 PCIe 32 GB
- Around 80% lower typical power consumption: 250 Watt vs 450 Watt
- Around 33% higher maximum memory size: 32 GB vs 24 GB
- Around 33% higher memory clock speed: 1752 MHz vs 1313 MHz, 21 Gbps effective
- Around 2% better performance in CompuBench 1.5 Desktop - Face Detection (mPixels/s): 592.008 vs 582.642
- Around 52% better performance in CompuBench 1.5 Desktop - Video Composition (Frames/s): 271.318 vs 178.756
Specifications (specs) | |
Thermal Design Power (TDP) | 250 Watt vs 450 Watt |
Maximum memory size | 32 GB vs 24 GB |
Memory clock speed | 1752 MHz vs 1313 MHz, 21 Gbps effective |
Benchmarks | |
CompuBench 1.5 Desktop - Face Detection (mPixels/s) | 592.008 vs 582.642 |
CompuBench 1.5 Desktop - Video Composition (Frames/s) | 271.318 vs 178.756 |
Compare benchmarks
GPU 1: NVIDIA GeForce RTX 4090
GPU 2: NVIDIA Tesla V100 PCIe 32 GB
PassMark - G2D Mark |
|
|
||||
PassMark - G3D Mark |
|
|
||||
CompuBench 1.5 Desktop - Face Detection (mPixels/s) |
|
|
||||
CompuBench 1.5 Desktop - T-Rex (Frames/s) |
|
|
||||
CompuBench 1.5 Desktop - Video Composition (Frames/s) |
|
|
||||
CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s) |
|
|
||||
Geekbench - OpenCL |
|
|
Name | NVIDIA GeForce RTX 4090 | NVIDIA Tesla V100 PCIe 32 GB |
---|---|---|
PassMark - G2D Mark | 1297 | 327 |
PassMark - G3D Mark | 38287 | 8260 |
3DMark Fire Strike - Graphics Score | 9223 | |
CompuBench 1.5 Desktop - Face Detection (mPixels/s) | 582.642 | 592.008 |
CompuBench 1.5 Desktop - T-Rex (Frames/s) | 98.472 | 46.266 |
CompuBench 1.5 Desktop - Video Composition (Frames/s) | 178.756 | 271.318 |
CompuBench 1.5 Desktop - Bitcoin Mining (mHash/s) | 2968.159 | 2169.759 |
Geekbench - OpenCL | 317791 | 163637 |
CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s) | 0 | 0 |
GFXBench 4.0 - Car Chase Offscreen (Frames) | 9969 | |
GFXBench 4.0 - Manhattan (Frames) | 3521 | |
GFXBench 4.0 - T-Rex (Frames) | 3360 | |
GFXBench 4.0 - Car Chase Offscreen (Fps) | 9969 | |
GFXBench 4.0 - Manhattan (Fps) | 3521 | |
GFXBench 4.0 - T-Rex (Fps) | 3360 |
Compare specifications (specs)
NVIDIA GeForce RTX 4090 | NVIDIA Tesla V100 PCIe 32 GB | |
---|---|---|
Essentials |
||
Architecture | Ada Lovelace | Volta |
Code name | AD102 | GV100 |
Launch date | 20 Sep 2022 | 27 March 2018 |
Place in performance rating | 13 | 155 |
Type | Workstation | |
Technical info |
||
Boost clock speed | 2520 MHz | 1380 MHz |
Core clock speed | 2235 MHz | 1230 MHz |
Manufacturing process technology | 4 nm | 12 nm |
Peak Double Precision (FP64) Performance | 1,290 GFLOPS (1:64) | |
Peak Half Precision (FP16) Performance | 82.58 TFLOPS (1:1) | |
Peak Single Precision (FP32) Performance | 82.58 TFLOPS | |
Pipelines | 16384 | 5120 |
Pixel fill rate | 443.5 GPixel/s | |
Texture fill rate | 1,290 GTexel/s | 441.6 GTexel / s |
Thermal Design Power (TDP) | 450 Watt | 250 Watt |
Transistor count | 76300 million | 21,100 million |
Floating-point performance | 14,131 gflops | |
Video outputs and ports |
||
Display Connectors | 1x HDMI 2.1, 3x DisplayPort 1.4a | No outputs |
Compatibility, dimensions and requirements |
||
Form factor | Triple-slot | |
Height | 61 mm, 2.4 inches | |
Interface | PCIe 4.0 x16 | PCIe 3.0 x16 |
Length | 304 mm, 12 inches | |
Recommended system power (PSU) | 850 Watt | |
Supplementary power connectors | 1x 16-pin | 2x 8-pin |
Width | 137 mm, 5.4 inches | |
API support |
||
DirectX | 12 Ultimate (12_2) | 12.0 (12_1) |
OpenCL | 3.0 | |
OpenGL | 4.6 | 4.6 |
Shader Model | 6.7 | |
Vulkan | ||
Memory |
||
Maximum RAM amount | 24 GB | 32 GB |
Memory bandwidth | 1,008 GB/s | 897.0 GB / s |
Memory bus width | 384 bit | 4096 Bit |
Memory clock speed | 1313 MHz, 21 Gbps effective | 1752 MHz |
Memory type | GDDR6X | HBM2 |