NVIDIA P102-100
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA P102-100 Specifications
GPU Core
Shader units and compute resources
The NVIDIA P102-100 GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
P102-100 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the P102-100's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The P102-100 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's P102-100 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The P102-100's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
P102-100 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the P102-100, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
P102-100 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA P102-100 against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
Pascal Architecture & Process
Manufacturing and design details
The NVIDIA P102-100 is built on NVIDIA's Pascal architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the P102-100 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA P102-100 determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the P102-100 to maintain boost clocks without throttling.
P102-100 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA P102-100 are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA P102-100. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
P102-100 Product Information
Release and pricing details
The NVIDIA P102-100 is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the P102-100 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA P102-100
The NVIDIA P102-100 is a Pascal mining GPU built on the GP102 chip, manufactured by NVIDIA at TSMC using a 16 nm process. The die contains 11,800 million transistors on 471 mm², for a transistor density of 25.1M / mm². It belongs to the Mining GPUs generation, has no display outputs, and is marked end-of-life with a release date of 2018-02-11. Clock speeds are 1582 MHz base and 1683 MHz boost, with memory at 1376 MHz / 11 Gbps effective. In aggregated benchmark data, the card averages 57601 points and sits at the 89th percentile of all GPUs.
Benchmark Performance
The benchmark database lists two Geekbench results: OpenCL at 49602 and Vulkan at 65600. The Vulkan result is clearly higher than the OpenCL result, so the card’s compute throughput is API-dependent. The average benchmark score of 57601 combines these two measurements, and the 89th percentile ranking indicates that the P102-100 outperforms most of the database’s GPU population. The compute resources behind that ranking are 3200 shading units, 200 texture mapping units, and 80 ROPs. These yield a pixel rate of 134.6 GPixel/s, a texture rate of 336.6 GTexel/s, and FP32 throughput of 10.77 TFLOPS. FP16 throughput is 168.3 GFLOPS at a 1:64 ratio, meaning the FP16 rate is a small fraction of FP32. Consequently, the P102-100 is oriented toward FP32 compute rather than half-precision workloads.
The nearestRivals data shows how tightly grouped this card is. The AMD Radeon RX 5600 OEM has an average score of 57599 and a deltaPct of 0, so the P102-100 is neither ahead nor behind that rival. The AMD Radeon Pro W5500X averages 57661, with the P102-100 at -0.1%. The Intel Arc A580 averages 57756, a -0.3% gap. The Intel Arc A570M averages 58239, a -1.1% gap. The deltaPct values therefore run from 0 to -1.1, and the spread of average scores is 57599 to 58239. The P102-100’s own average of 57601 places it just below three of those rivals and exactly level with the RX 5600 OEM.
Memory Subsystem
The memory configuration consists of 5 GB of GDDR5X on a 320-bit bus. The memory clock is 1376 MHz, equivalent to 11 Gbps effective, and the combination produces a bandwidth of 440.3 GB/s. High bandwidth is important for workloads that repeatedly move large textures, buffers, or intermediate data. In high-resolution contexts, the 320-bit interface and 440.3 GB/s bandwidth help keep the GPU fed, but the 5 GB capacity is the upper bound for resident data. Because the card has no display outputs, high-resolution rendering would have to be performed into an off-screen buffer or used in compute processing of high-resolution images rather than displayed directly. The memory clock and effective data rate are both listed, so the 11 Gbps effective figure is what supports the 440.3 GB/s total. No other memory configuration is listed for this card.
How It Compares
Against the AMD Radeon RX 5600 OEM, the P102-100’s average score of 57601 is effectively identical to the rival’s 57599. The deltaPct of 0 makes this a direct tie in the database.
Against the AMD Radeon Pro W5500X, the rival’s average score is 57661 and the deltaPct is -0.1. The P102-100 trails slightly, but the margin is negligible for most workloads.
Against the Intel Arc A580, the rival’s average of 57756 gives a deltaPct of -0.3. The P102-100 is a little behind this card in average benchmark score.
Against the Intel Arc A570M, the rival’s average is 58239 and the deltaPct is -1.1. This is the largest gap among the listed nearest rivals, yet it is still a small overall distance from the P102-100’s score.
Who Should Consider It
The P102-100 is not a display card; with no outputs, any system using it must run headless or rely on another GPU for display. The database lists it under Mining GPUs and as end-of-life, so the intended environment is mining or compute rather than desktop use. Benchmark results give two concrete data points: OpenCL 49602 and Vulkan 65600. Applications that can use Vulkan should see better performance than those limited to OpenCL, based on those scores. The 5 GB memory capacity and 440.3 GB/s bandwidth mean workloads should fit within 5 GB to avoid host-side fallback. The card’s 89th percentile position and average score of 57601 align it with the AMD Radeon RX 5600 OEM, the AMD Radeon Pro W5500X, the Intel Arc A580, and the Intel Arc A570M. For high-resolution compute work, the listed host interface is PCIe 1.0 x4, while the GPU-side memory bandwidth remains 440.3 GB/s. This is a specialized part for specialized workloads.
Ray Tracing and Feature Set
The data lists no RT core count and no tensor core count for the P102-100. Without those fields, the card cannot be positioned as an RT-capable or tensor-accelerated product. API support is DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. These are listed API versions, but the card’s lack of display outputs limits their use to compute or off-screen contexts. The Pascal architecture and GP102 chip define the feature base. FP16 compute is 168.3 GFLOPS with a 1:64 ratio, which is far below the FP32 figure of 10.77 TFLOPS; this reinforces that the card is built around FP32 operations. The RT core and tensor core fields being null means there is no dedicated hardware for those functions in the data. The feature set is therefore compute-oriented rather than graphics- or AI-accelerator-oriented.
Power and Cooling
Power characteristics are listed as a 250 W TDP, 2x 8-pin power connectors, and a suggested PSU of 600 W. The physical format is dual-slot, and the card length is 267 mm / 10.5 inches. These numbers define the installation envelope. The host connection uses PCIe 1.0 x4. Since there are no display outputs, the card does not provide a monitor connection. The production status is end-of-life, and the release date is 2018-02-11. The relevant constraints for installation are the 2x 8-pin connectors, 600 W suggested PSU, dual-slot clearance, and 267 mm / 10.5 inches of length.
Detailed benchmark scores and charts for the NVIDIA P102-100 are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA P102-100 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms. Higher scores benefit applications that leverage GPU acceleration for non-graphics workloads.
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA P102-100 performs with next-generation graphics and compute workloads.
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