Tesla P100 PCIe 12 GB vs GeForce GTX 1070 Mobile
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in the ranking | 194 | not rated |
| Place by popularity | not in top-100 | not in top-100 |
| Cost-effectiveness evaluation | 31.27 | no data |
| Power efficiency | 17.44 | no data |
| Architecture | Pascal (2016−2021) | Pascal (2016−2021) |
| GPU code name | GP104B | GP100 |
| Market segment | Laptop | Workstation |
| Release date | 15 August 2016 (8 years ago) | 20 June 2016 (8 years ago) |
| Launch price (MSRP) | $389.99 | $4,599 |
Cost-effectiveness evaluation
Performance to price ratio. The higher, the better.
Detailed specifications
General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.
| Pipelines / CUDA cores | 2048 | 3584 |
| CUDA cores | 1920 | no data |
| Core clock speed | 1506 MHz | 1190 MHz |
| Boost clock speed | 1645 MHz | 1329 MHz |
| Number of transistors | 7,200 million | 15,300 million |
| Manufacturing process technology | 16 nm | 16 nm |
| Power consumption (TDP) | 120 Watt | 250 Watt |
| Maximum GPU temperature | 94 °C | no data |
| Texture fill rate | 210.6 | 297.7 |
| Floating-point processing power | 6.738 TFLOPS | 9.526 TFLOPS |
| ROPs | 64 | 96 |
| TMUs | 128 | 224 |
Form factor & compatibility
Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).
| Laptop size | large | no data |
| Bus support | PCIe 3.0 | no data |
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 |
| Length | no data | 267 mm |
| Width | no data | 2-slot |
| Supplementary power connectors | no data | 1x 8-pin |
| SLI options | + | - |
VRAM capacity and type
Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.
| Memory type | GDDR5 | HBM2 |
| Maximum RAM amount | 8 GB | 12 GB |
| Memory bus width | 256 Bit | 3072 Bit |
| Memory clock speed | 8 GB/s | 715 MHz |
| Memory bandwidth | 256 GB/s | 549.1 GB/s |
| Shared memory | - | - |
Connectivity and outputs
Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.
| Display Connectors | DP 1.42, HDMI 2.0b, Dual Link-DVI | No outputs |
| Multi monitor support | + | no data |
| G-SYNC support | + | - |
Supported technologies
Supported technological solutions. This information will prove useful if you need some particular technology for your purposes.
| GPU Boost | 3.0 | no data |
| VR Ready | + | no data |
| Ansel | + | no data |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
| DirectX | 12 (12_1) | 12 (12_1) |
| Shader Model | 6.4 | 6.4 |
| OpenGL | 4.5 | 4.6 |
| OpenCL | 1.2 | 1.2 |
| Vulkan | 1.2.131 | 1.2.131 |
| CUDA | + | 6.0 |
Pros & cons summary
| Recency | 15 August 2016 | 20 June 2016 |
| Maximum RAM amount | 8 GB | 12 GB |
| Power consumption (TDP) | 120 Watt | 250 Watt |
GTX 1070 Mobile has an age advantage of 1 month, and 108.3% lower power consumption.
Tesla P100 PCIe 12 GB, on the other hand, has a 50% higher maximum VRAM amount.
We couldn't decide between GeForce GTX 1070 Mobile and Tesla P100 PCIe 12 GB. We've got no test results to judge.
Be aware that GeForce GTX 1070 Mobile is a notebook card while Tesla P100 PCIe 12 GB is a workstation one.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
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