NVIDIA GeForce GT 1010
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA GeForce GT 1010 Specifications
GPU Core
Shader units and compute resources
The NVIDIA GeForce GT 1010 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.
GT 1010 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GeForce GT 1010'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 GeForce GT 1010 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GeForce GT 1010 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce GT 1010'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.
GeForce GT 1010 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the GT 1010, 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.
GT 1010 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce GT 1010 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 GeForce GT 1010 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 GT 1010 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GeForce GT 1010 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 GeForce GT 1010 to maintain boost clocks without throttling.
GeForce GT 1010 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GeForce GT 1010 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 GeForce GT 1010. 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.
GeForce GT 1010 Product Information
Release and pricing details
The NVIDIA GeForce GT 1010 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 GeForce GT 1010 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA GeForce GT 1010
NVIDIA’s GeForce GT 1010 is an end-of-life entry-level discrete GPU built on the 14 nm Pascal architecture. With a Geekbench OpenCL score of 6241, it places in the 35th percentile of all GPUs, indicating that it sits firmly in the lower performance tier. The card’s modest specifications—256 shading units, 16 TMUs, and 8 ROPs—translate into a pixel rate of 11.74 GPixel/s and a texture rate of 23.49 GTexel/s, figures that align with its positioning as a basic display adapter rather than a gaming performer.
Benchmark Performance
The GeForce GT 1010’s sole benchmark result is a Geekbench OpenCL score of 6241, which serves as the reference point for all comparative analysis. This score places the card at the 35th percentile among all GPUs, meaning roughly two-thirds of tested graphics cards deliver higher compute performance. In practical terms, the data suggests the GT 1010 is suited for office productivity, media playback, and legacy applications, but it will struggle with modern 3D workloads.
Against its nearest rivals, the GT 1010’s performance margin is razor-thin. It edges out the AMD Radeon HD 6950 by a mere 0.5%, with that rival scoring 6210. The delta is so small that it falls within typical run-to-run variance, making the two cards effectively equal in OpenCL compute. Similarly, the GT 1010 leads the AMD FirePro W600 by 0.6%, a 6205 score, again representing a negligible real-world difference. The picture flips when compared to the NVIDIA Quadro K620, which posts a 6286 score—0.7% higher than the GT 1010. The AMD Radeon R7 M350 completes the group with a 6290 score, outperforming the GT 1010 by 0.8%.
These sub-1% deltas paint a clear picture: the GT 1010 is locked in a statistical tie with its closest competitors. None of the four nearest rivals manages to separate itself by even a single percentage point, indicating that the GT 1010 occupies a tightly contested performance band. The FP32 throughput of 751.6 GFLOPS provides the theoretical ceiling for compute tasks, and the benchmark data confirms that real-world OpenCL performance tracks closely with this figure relative to peers.
How It Compares
AMD Radeon HD 6950: The GT 1010 leads this older AMD card by 0.5% in average benchmark score, with 6241 versus 6210. Despite the GT 1010’s vastly newer architecture and much lower power draw, the performance gap is negligible, highlighting how far entry-level GPUs have stagnated in raw compute. The two cards are effectively interchangeable for OpenCL workloads.
AMD FirePro W600: A 0.6% advantage for the GT 1010, which scores 6241 against the FirePro’s 6205. The FirePro is a workstation-oriented card, yet the consumer GT 1010 matches its compute output. This suggests that the GT 1010’s Pascal architecture delivers respectable efficiency, but the performance ceiling remains firmly entry-level.
NVIDIA Quadro K620: The Quadro edges out the GT 1010 by 0.7%, scoring 6286 versus 6241. Both cards share NVIDIA’s design philosophy, but the Quadro’s slightly higher score indicates a marginal compute advantage. For users comparing these two, the difference is imperceptible in real-world use, and the GT 1010’s newer API support does not translate into a benchmark win here.
AMD Radeon R7 M350: This mobile-oriented AMD part posts a 6290 score, beating the GT 1010 by 0.8%. It is the largest delta among the nearest rivals, yet still under one percentage point. The GT 1010’s desktop form factor and dedicated cooling do not yield any measurable compute benefit over this mobile chip, underscoring the homogeneity of performance at this tier.
Ray Tracing and Feature Set
The GeForce GT 1010 does not include dedicated ray tracing cores or tensor cores, as these hardware units are absent from the specification list. Consequently, the card offers no hardware-accelerated ray tracing capabilities, meaning any ray-traced effects would require software fallbacks, which are impractical given the card’s 751.6 GFLOPS FP32 throughput. Similarly, the lack of tensor cores precludes any AI-accelerated features like DLSS, leaving the card reliant on traditional rendering methods.
On the API front, the GT 1010 supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The DirectX 12_1 feature level indicates support for conservative rasterization and rasterizer-ordered views, but not the full DirectX 12 Ultimate feature set. Vulkan 1.4 support ensures compatibility with modern cross-platform titles, though the hardware’s compute limitations will bottleneck any demanding workload. The GP108 chip, built on Samsung’s 14 nm process, contains 1,800 million transistors on a 74 mm² die, yielding a transistor density of 24.3M per mm². Display outputs are limited to one DVI and one mini-HDMI 2.0, which restricts multi-monitor setups to two displays and omits modern DisplayPort connectivity.
FAQ
Q: Does the GT 1010 support hardware ray tracing?
A: No. The card has no ray tracing cores listed, so hardware-accelerated ray tracing is unavailable.
Q: What is the card’s average benchmark score?
A: The average benchmark score is 6241, based on the Geekbench OpenCL test.
Q: How does the GT 1010 compare to the AMD Radeon HD 6950?
A: The GT 1010 scores 6241, which is 0.5% higher than the HD 6950’s 6210.
Q: What is the transistor count and die size?
A: The GP108 chip has 1,800 million transistors on a 74 mm² die, manufactured on a 14 nm process.
Q: Which API versions are supported?
A: The card supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4.
Q: How many display outputs does the GT 1010 have?
A: It has two outputs: one DVI and one mini-HDMI 2.0.
Memory Subsystem
The GeForce GT 1010 is equipped with 2 GB of GDDR5 memory across a 64-bit bus, producing a memory bandwidth of 48.06 GB/s. The memory clock runs at 1502 MHz, with an effective data rate of 6 Gbps. This configuration is modest by any modern standard, and the narrow 64-bit bus is the primary constraint on memory throughput.
For high-resolution workloads, the 2 GB VRAM capacity is the more pressing limitation than raw bandwidth. At 1080p, the card can handle lighter titles and desktop applications, but 1440p or 4K resolutions will quickly exhaust the framebuffer, causing texture thrashing and severe stuttering. The 48.06 GB/s bandwidth further compounds this issue, as even modest texture loads can saturate the interface. The pixel rate of 11.74 GPixel/s and texture rate of 23.49 GTexel/s are consistent with the memory subsystem’s capabilities, indicating that the card is balanced— albeit at a very low performance level. For users targeting high resolutions, the data shows that the GT 1010 lacks the memory capacity and bandwidth to deliver playable frame rates in anything beyond the simplest 3D applications.
Detailed benchmark scores and charts for the NVIDIA GeForce GT 1010 are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA GeForce GT 1010 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.
Top 5 Performers
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