NVIDIA GeForce 800M
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA GeForce 800M Specifications
GPU Core
Shader units and compute resources
The NVIDIA GeForce 800M 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.
800M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GeForce 800M'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 800M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GeForce 800M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce 800M'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 800M by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the 800M, 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.
800M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce 800M 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.
Fermi 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA GeForce 800M is built on NVIDIA's Fermi 2.0 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 800M will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GeForce 800M 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 800M to maintain boost clocks without throttling.
GeForce 800M by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GeForce 800M 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 800M. 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 800M Product Information
Release and pricing details
The NVIDIA GeForce 800M 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 800M 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 800M
The NVIDIA GeForce 800M is an end-of-life mobile GPU built on the Fermi 2.0 architecture, using the GF117 chip fabricated by TSMC on a 28 nm process. The die contains 585 million transistors across 116 mm², with a transistor density of 5.0M per mm². Its Geekbench OpenCL score is 1458, placing it at the 7th percentile of all GPUs in the database. The part belongs to the GeForce 800M generation, sitting between the GeForce 700M and GeForce 900M families.
Power and Cooling — TDP, PSU recommendation, connector requirements
The GeForce 800M carries a 15 W TDP, which is low enough that the data lists no external power connectors. The slot width is listed as IGP, meaning the GPU is integrated into a host device rather than occupying a discrete expansion slot. No suggested PSU is present in the specification record. Because the power connector field is “None,” the platform’s existing power delivery is the only supply path the data describes.
The bus interface is PCIe 2.0 x16, but that does not change the integrated power profile. A 15 W part with no power connectors is a design aimed at highly power-constrained environments, not at systems built around large power supplies. The absence of a PSU recommendation in the data reinforces this interpretation: the 800M is not the kind of component that requires a dedicated power-supply checklist.
The display outputs are listed as “Portable Device Dependent,” which means the physical outputs are determined by the host notebook or device. From a cooling standpoint, the 15 W TDP is the only thermal number given, and it implies that the thermal solution integrated into the host platform should be sufficient. There is no length, height, or width specification in the data, so physical installation constraints are not defined.
Ray Tracing and Feature Set — RT/tensor cores, API support from facts
The specification data lists null for both RT cores and tensor cores. Therefore, no dedicated ray tracing acceleration or tensor-core capabilities are represented for the GeForce 800M. The architecture is Fermi 2.0, an older design family in the data set, and the feature set is built around conventional graphics processing rather than specialized compute blocks.
The GPU includes 48 shading units, 8 texture mapping units, and 8 render output units. Pixel rate is 1.476 GPixel/s, texture rate is 5.904 GTexel/s, and FP32 throughput is 141.7 GFLOPS. These are the compute figures that define the card’s raw capability in the benchmark database.
On the API side, the pack lists DirectX 12 (11_0) and OpenGL 4.6. The DirectX entry is specifically noted as “12 (11_0),” which indicates a feature-level 11_0 path rather than a broader DirectX 12 implementation. Vulkan is listed as null, so no Vulkan support is included in the data. This API set is modest, and combined with no RT or tensor cores, the feature story is one of basic compatibility rather than advanced rendering features.
Memory Subsystem — VRAM size/type, bus width, bandwidth and what it means for high resolutions
The GeForce 800M has 1024 MB of DDR3 memory. The bus width is 64 bit, and the memory clock is 900 MHz with an effective data rate of 1800 Mbps. This configuration produces a memory bandwidth of 14.40 GB/s.
That bandwidth figure is the key constraint for high-resolution work. A 64-bit bus limits how much data can cross between memory and the GPU per clock cycle, and 14.40 GB/s is the total data-transfer ceiling. For scenes with large textures, deep render buffers, or high-resolution output, this ceiling will be reached quickly. The 1024 MB capacity also limits how many assets can reside in VRAM at once. The combination of a small buffer and a narrow bus means that high-resolution performance will be bottlenecked by memory throughput long before other parts of the GPU are stressed.
The memory type is DDR3, which is consistent with the low-power, IGP positioning of the part. The 900 MHz clock and 1800 Mbps effective rate are the only memory-speed values in the data, and they tie directly to the 14.40 GB/s figure. For workloads that fit within 1024 MB and do not demand sustained bandwidth, this subsystem may be adequate; for heavier visual loads, the limits are apparent from the specifications.
How It Compares — position vs each nearest rival
The nearest rival in the database is the NVIDIA GeForce GT 520MX, which has an average score of 1470. The GeForce 800M scores 1458, and the deltaPct is -0.8, so the 800M is 0.8% slower than the GT 520MX. This is the closest comparison in the data set, with the two parts effectively in the same performance tier.
The AMD Radeon HD 7670M has an average score of 1400. The deltaPct for this comparison is 4.1, meaning the GeForce 800M sits 4.1% ahead of the AMD part. The gap is real but narrow, so both GPUs occupy a similar low-end segment.
The NVIDIA GeForce 610M follows with an average score of 1383. The deltaPct is 5.4, giving the GeForce 800M a 5.4% lead over the 610M. This places the 800M clearly above the 610M in the database’s scores, but still within a tightly packed range.
The ATI Radeon HD 5570 has an average score of 1367. The deltaPct is 6.7, so the GeForce 800M’s advantage over this rival is 6.7%. Of the four nearest rivals, this is the largest margin, yet it remains a modest overall difference.
Benchmark Performance — analyze scores vs rivals with exact % deltas
The Geekbench OpenCL result for the GeForce 800M is 1458. The average benchmark score in the database is also 1458, indicating that the single listed benchmark is the only score used for this part. The percentile versus all GPUs is 7, meaning the 800M beats roughly 7% of the GPUs in the database and trails most of the rest.
Against its nearest rivals, the exact deltas are as follows: 0.8% behind the GeForce GT 520MX, 4.1% ahead of the AMD Radeon HD 7670M, 5.4% ahead of the NVIDIA GeForce 610M, and 6.7% ahead of the ATI Radeon HD 5570. These percentages are all small, so the 800M is not far from the performance of its closest competitors. The entire cluster spans a narrow range, and the 800M sits in the middle-to-upper portion of that cluster.
The 7th percentile ranking puts this chip in the low end of the overall GPU distribution. A score of 1458 is not competitive with high-end parts in the database, but the benchmark data still distinguishes it from the four rivals in a consistent way. The largest delta among the four nearest rivals is under seven percentage points, so the practical difference between the 800M and its neighbors is minor. Benchmark results indicate that the 800M is a low-tier part whose standing depends more on the weakness of its rivals than on any absolute performance strength.
FAQ
Q: What is the GeForce 800M's benchmark score?
A: 1458 on Geekbench OpenCL, which is also its average benchmark score in the database.
Q: Does the GeForce 800M have dedicated ray tracing or tensor cores?
A: No. The specification data lists null for both RT cores and tensor cores.
Q: What memory configuration does the GeForce 800M use?
A: 1024 MB of DDR3 on a 64-bit bus, with 900 MHz memory clock, 1800 Mbps effective data rate, and 14.40 GB/s bandwidth.
Q: What power connectors does the GeForce 800M require?
A: None. The TDP is 15 W, the slot width is IGP, and no suggested PSU is listed in the data.
Q: Which APIs are supported by the GeForce 800M?
A: DirectX 12 (11_0) and OpenGL 4.6. Vulkan is listed as null.
Q: How does the GeForce 800M compare to its closest rival, the GeForce GT 520MX?
A: The GeForce 800M scores 1458, while the GT 520MX averages 1470, making the 800M 0.8% slower.
Who Should Consider It
The GeForce 800M is best suited for users with low-end, power-lean computing needs. Its 7th percentile ranking and 1458 OpenCL score indicate that demanding workloads are not within its reach. The 1024 MB memory buffer and 14.40 GB/s bandwidth point to low-resolution, low-detail settings rather than high-resolution configurations.
Because the TDP is only 15 W and the slot width is IGP, this is a part for integrated mobile systems where expansion and high power draw are not options. Users who play older or lightweight titles at conservative settings may find the 800M adequate. Users who need high-resolution rendering, complex effects, or sustained high frame rates will likely be limited by the GPU's memory subsystem and compute throughput. The data positions the 800M as a basic mobile graphics solution, not as a high-performance part.
Detailed benchmark scores and charts for the NVIDIA GeForce 800M are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA GeForce 800M handles parallel computing tasks like video encoding and scientific simulations.
Top 5 Performers
Top 5 PerformersNearby Performers
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