Explore the complete details of GeForce 9800M GT, including specs, performance benchmarks
The GeForce 9800M GT GPU by NVIDIA. features a Tesla (2006−2010) architecture. with 96 CUDA cores. It offers GDDR3 memory with 512 MB GB capacity and a 256 Bit-bit interface. delivering a bandwidth of 51.2 GB/s GB/s. With a power consumption (TDP) of 65W. it supports DirectX 11.1 (10_0), Vulkan N/A for enhanced performance.
Basic details about the GeForce 9800M GT, including manufacturer, ranking, and release date.
Title | GeForce 9800M GT |
---|---|
Manufacturer | NVIDIA |
Ranking | 1152 |
Popularity Rank | not in top-100 |
Architecture | Tesla (2006−2010) |
GPU code name | G92 |
Market Segmente | Laptop |
Length - Width | N/A - N/A |
Release Date | 29 July 2008 |
Launch Price | $N/A |
Details on clock speeds, cores, and floating-point processing power of GeForce 9800M GT.
Core Clock Speed | 500 MHz |
---|---|
Boost Clock Speed | N/A |
Floating Point Processing Power | 0.24 TFLOPS |
No of Transistors | 754 million |
CUDA Cores | 96 |
Ray Tracing Cores | N/A |
Tensor Cores | N/A |
Texture Fill Rate | 24.00 |
ROPs | 16 |
Available display connectors and API compatibility for enhanced performance.
Interface | PCIe 2.0 x16 |
---|---|
Display Connectors | No outputs |
HDMI | N/A |
DirectX | 11.1 (10_0) |
Shader Model | 4.0 |
OpenGL | 3.3 |
OpenCL | 1.1 |
Vulkan | N/A |
CUDA | + |
DLSS | N/A |
TMUs | 48 |
Information on memory type, capacity, and bandwidth to evaluate data processing power.
Memory Type | GDDR3 |
---|---|
Maximum RAM | 512 MB |
Memory Bus Width | 256 Bit |
Memory Clock Speed | 800 MHz |
Memory Bandwidth | 51.2 GB/s GB/s |
Resizable BAR | N/A |
Power consumption, efficiency, and additional power requirements.
Power Consumption (TDP) | 65 W |
---|---|
Power Efficiency | 1.05 |
Manufacturing Process | 65 nm |
Supplementary Power Connectors | None |
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.