Tesla C1080 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 | 34.11 | no data |
| Power efficiency | 16.57 | no data |
| Architecture | Pascal (2016−2021) | Tesla 2.0 (2007−2013) |
| GPU code name | GP104B | GT200B |
| Market segment | Laptop | Workstation |
| Release date | 15 August 2016 (8 years ago) | 9 April 2009 (15 years ago) |
| Launch price (MSRP) | $389.99 | no data |
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 | 1920 | 240 |
| Core clock speed | 1506 MHz | 610 MHz |
| Boost clock speed | 1645 MHz | no data |
| Number of transistors | 7,200 million | 1,400 million |
| Manufacturing process technology | 16 nm | 55 nm |
| Power consumption (TDP) | 120 Watt | 188 Watt |
| Maximum GPU temperature | 94 °C | no data |
| Texture fill rate | 210.6 | 48.80 |
| Floating-point processing power | 6.738 TFLOPS | 0.6221 TFLOPS |
| ROPs | 64 | 32 |
| TMUs | 128 | 80 |
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 2.0 x16 |
| Length | no data | 267 mm |
| Width | no data | 2-slot |
| Supplementary power connectors | no data | 1x 6-pin + 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 | GDDR3 |
| Maximum RAM amount | 8 GB | 4 GB |
| Memory bus width | 256 Bit | 512 Bit |
| Memory clock speed | 8 GB/s | 800 MHz |
| Memory bandwidth | 256 GB/s | 102.4 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) | 11.1 (10_0) |
| Shader Model | 6.4 | 4.0 |
| OpenGL | 4.5 | 3.3 |
| OpenCL | 1.2 | 1.1 |
| Vulkan | 1.2.131 | N/A |
| CUDA | + | 1.3 |
Pros & cons summary
| Recency | 15 August 2016 | 9 April 2009 |
| Maximum RAM amount | 8 GB | 4 GB |
| Chip lithography | 16 nm | 55 nm |
| Power consumption (TDP) | 120 Watt | 188 Watt |
GTX 1070 Mobile has an age advantage of 7 years, a 100% higher maximum VRAM amount, a 243.8% more advanced lithography process, and 56.7% lower power consumption.
We couldn't decide between GeForce GTX 1070 Mobile and Tesla C1080. We've got no test results to judge.
Be aware that GeForce GTX 1070 Mobile is a notebook card while Tesla C1080 is a workstation one.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
Comparisons with similar GPUs
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