Explore the complete details of GeForce GTX 1070 SLI Mobile, including specs, performance benchmarks
The GeForce GTX 1070 SLI Mobile GPU by NVIDIA. features a Pascal (2016−2021) architecture. with 4096 CUDA cores. and a boost clock of 1645 MHz MHz. It offers GDDR5 memory with 2x 8 GB GB capacity and a 256 Bit-bit interface.
Basic details about the GeForce GTX 1070 SLI Mobile, including manufacturer, ranking, and release date.
| Title | GeForce GTX 1070 SLI Mobile |
|---|---|
| Manufacturer | NVIDIA |
| Ranking | 102 |
| Popularity Rank | not in top-100 |
| Architecture | Pascal (2016−2021) |
| GPU code name | Pascal GP104 SLI |
| Market Segmente | Laptop |
| Length - Width | N/A - N/A |
| Release Date | 16 August 2016 |
Details on clock speeds, cores, and floating-point processing power of GeForce GTX 1070 SLI Mobile.
| Core Clock Speed | 1443 MHz |
|---|---|
| Boost Clock Speed | 1645 MHz |
| Floating Point Processing Power | N/A |
| No of Transistors | 14400 Million |
| CUDA Cores | 4096 |
| Ray Tracing Cores | N/A |
| Tensor Cores | N/A |
| Texture Fill Rate | N/A |
| ROPs | N/A |
Available display connectors and API compatibility for enhanced performance.
| Interface | N/A |
|---|---|
| Display Connectors | N/A |
| HDMI | N/A |
| DirectX | N/A |
| Shader Model | N/A |
| OpenGL | N/A |
| OpenCL | N/A |
| Vulkan | N/A |
| CUDA | N/A |
| DLSS | N/A |
| TMUs | N/A |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
| Memory Type | GDDR5 |
|---|---|
| Maximum RAM | 2x 8 GB |
| Memory Bus Width | 256 Bit |
| Memory Clock Speed | 8000 MHz |
| Memory Bandwidth | N/A GB/s |
| Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
| Power Consumption (TDP) | N/A W |
|---|---|
| Power Efficiency | N/A |
| Manufacturing Process | 16 nm |
| Supplementary Power Connectors | N/A |
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
Here are some of the closest competitors to this GPU. Compare their power consumption, efficiency, and additional power requirements.
