NVIDIA Jetson Nano
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Jetson Nano Specifications
GPU Core
Shader units and compute resources
The NVIDIA Jetson Nano 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.
Jetson Nano Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Jetson Nano'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 Jetson Nano by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Jetson Nano Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Jetson Nano'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.
Jetson Nano by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Jetson Nano, 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.
Jetson Nano Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Jetson Nano 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.
Maxwell 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA Jetson Nano is built on NVIDIA's Maxwell 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 Jetson Nano will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Jetson Nano 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 Jetson Nano to maintain boost clocks without throttling.
Jetson Nano by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Jetson Nano 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 Jetson Nano. 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.
Jetson Nano Product Information
Release and pricing details
The NVIDIA Jetson Nano 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 Jetson Nano by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA Jetson Nano
The NVIDIA Jetson Nano is an end-of-life GPU in the Tegra (Maxwell) generation, built around the GM20B chip at TSMC on a 20 nm process. The die contains 2,000 million transistors across 118 mm², giving a transistor density of 16.9M / mm². It runs at a 640 MHz base clock and 921 MHz boost clock, with a 10 W TDP, and its launch MSRP is 99 USD. The database lists no benchmark scores for this entry and no nearest rivals; its overall percentile against all GPUs is 50.
Who Should Consider It
This part is not aimed at high-end desktop rendering. Its physical and electrical profile points to compact, low-power integrated systems: a 10 W TDP, a 70 mm by 45 mm board, an IGP slot width, and a PCIe 2.0 x4 interface. Those numbers define a device that can be placed in small chassis solutions or portable-device contexts rather than full-size expansion slots.
The memory footprint is also modest. With 4 GB of LPDDR4 and a 64-bit bus delivering 25.60 GB/s, the data supports workloads that keep memory usage low and do not depend on massive memory throughput. At higher resolutions and high-detail settings, the absence of recorded benchmark scores means no evidence-based performance claim can be made. The 50th percentile rank versus all GPUs, combined with 235.8 GFLOPS of FP32 throughput, suggests a position closer to the lower half of the database distribution than to the top.
The best audience is therefore users whose primary constraints are power and space. A 10 W TDP and a 70 mm by 45 mm footprint are the decisive specifications. For anyone expecting high-resolution, high-refresh rendering, the database provides no benchmark support for that use case.
Power and Cooling
The TDP is 10 W. The power connector field is null, and the suggested PSU field is null, so the data imposes no external power connector requirement and no recommended PSU wattage. The slot width is listed as IGP, meaning this is not a standard add-in card form factor.
The board length is 70 mm (2.8 inches) and height is 45 mm (1.8 inches). Display outputs are listed as “Portable Device Dependent,” so the display connection path is not fixed to a specific connector type. Cooling and power delivery must be handled by the host platform. With only 10 W of thermal design power, the cooling burden is light, but the fact pack does not include a specific cooler specification. Systems integrating this GPU need to account for PCIe 2.0 x4 connectivity and the compact IGP geometry.
Benchmark Performance
The benchmark result fields are empty. The average benchmark score is 0, which is the database aggregate for an entry with no recorded benchmark workloads. Consequently, there are no exact percentage deltas to compare against rivals. The only comparative statistic present is percentileVsAllGpus: 50, placing the Jetson Nano at the 50th percentile of all GPUs in the database — exactly the median.
Without sampled benchmark results, the useful performance indicators are the theoretical peak rates. The GPU provides 235.8 GFLOPS of FP32 and 471.6 GFLOPS of FP16, with FP16 listed at a 2:1 ratio. Pixel throughput is 14.74 GPixel/s, and texture throughput is 14.74 GTexel/s. These figures come from 128 shading units, 16 TMUs, and 16 ROPs, running between a 640 MHz base clock and 921 MHz boost clock.
Because the nearestRivals array is empty, no rival-specific comparison such as “X% ahead of [rival]” can be derived from the data. The median percentile rank is the only positional anchor in the database.
FAQ
Q: Is this product still in production?
A: No, the production status is end-of-life.
Q: Does the Jetson Nano support DirectX 12?
A: Yes, the API list includes DirectX 12 (12_1) support, along with OpenGL 4.6 and Vulkan 1.4.
Q: How much memory and bandwidth does it have?
A: It has 4 GB of LPDDR4 on a 64-bit bus, with a memory clock of 1600 MHz (3.2 Gbps effective) and 25.60 GB/s of memory bandwidth.
Q: Are there dedicated ray tracing or tensor cores?
A: The fact pack lists no RT cores and no tensor cores, so this configuration does not include dedicated ray tracing or tensor hardware.
Q: What is the TDP and does it require power connectors?
A: The TDP is 10 W. The power connector field is null, and the suggested PSU field is null, so no external power connector requirement or PSU recommendation is recorded.
Ray Tracing and Feature Set
The Jetson Nano is built on the Maxwell 2.0 architecture using the GM20B chip. The fact pack lists RT cores as null and tensor cores as null, so the GPU does not carry dedicated ray tracing units or tensor units. The feature set is instead defined by its API coverage: DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4.
These APIs provide modern graphics interface support, but without dedicated hardware for ray tracing, any ray-traced workload would have to rely on the general-purpose 128 shading units, 16 TMUs, and 16 ROPs. The 20 nm TSMC process and 2,000 million transistor count provide the context for those units. The available compute envelope is 235.8 GFLOPS of FP32 and 471.6 GFLOPS of FP16.
Memory Subsystem
Memory consists of 4 GB of LPDDR4 on a 64-bit bus. The memory clock is 1600 MHz, quoted as 3.2 Gbps effective, producing 25.60 GB/s of bandwidth. A 64-bit bus is narrow, and 25.60 GB/s is the data-transfer ceiling between the GPU and memory.
For high resolutions, frame data grows, placing more pressure on that ceiling. The 4 GB capacity limits how many high-resolution surfaces and assets can reside locally at once. This memory subsystem indicates workloads with low-to-moderate memory demands. The LPDDR4 type and compact dimensions align with the IGP slot width and portable-device-dependent display outputs.
How It Compares
The nearestRivals array in the fact pack is empty. As a result, the database provides no rival names, no rival scores, and no deltaPct values to form comparative paragraphs. The only global comparison available is percentileVsAllGpus: 50, placing this GPU at the midpoint of all GPUs in the database.
Because the benchmark list is empty and the average benchmark score is 0, that median rank is not backed by tested workload data. In the absence of nearestRivals entries, the comparison section is limited to this positional fact. No rival-specific percentage differences can be reported from the current data.
Detailed benchmark scores and charts for the NVIDIA Jetson Nano are below.
Benchmark Scores
No benchmark data available for this GPU.
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