NVIDIA Jetson TX2
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Jetson TX2 Specifications
Jetson TX2 GPU Core
Shader units and compute resources
The NVIDIA Jetson TX2 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 TX2 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Jetson TX2'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 TX2 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Jetson TX2 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Jetson TX2'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 TX2 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Jetson TX2, 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 TX2 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Jetson TX2 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 Jetson TX2 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 Jetson TX2 will perform in GPU benchmarks compared to previous generations.
NVIDIA's Jetson TX2 Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Jetson TX2 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 TX2 to maintain boost clocks without throttling.
Jetson TX2 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Jetson TX2 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 TX2. 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 TX2 Product Information
Release and pricing details
The NVIDIA Jetson TX2 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 TX2 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Jetson TX2 Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA Jetson TX2
The NVIDIA Jetson TX2 is a system-on-module built around the GP10B chip, utilizing the Pascal architecture on a 16nm process from TSMC. It is positioned as an embedded computing platform, with a production status of end-of-life, and its benchmark percentile versus all GPUs is 50.
Benchmark Performance
The Jetson TX2’s benchmark data is characterized by a distinct absence of standardized scores. The the benchmark database shows an average benchmark score of 0, and the `nearestRivals` array is empty. This indicates that the device is not typically evaluated within the conventional desktop or mobile GPU benchmarking frameworks that populate standard database comparisons. The percentile versus all GPUs is 50, which places it at the exact median of the distribution of all GPUs tracked in the database, but this figure must be interpreted carefully given the lack of specific performance deltas.
Without a raw score or rival deltas, the analysis must rely on its architectural specifications to infer performance. The chip provides 256 shading units, 16 texture mapping units, and 16 raster output units. The compute capabilities are listed as 665.6 GFLOPS for FP32 operations and 1,331.2 GFLOPS for FP16 operations, with the FP16 figure representing a 2:1 ratio relative to FP32. The pixel rate is 20.80 GPixel/s, and the texture rate is 20.80 GTexel/s. These figures suggest a device optimized for low-power, parallel workloads rather than high-fidelity gaming or intensive rendering tasks. The memory subsystem consists of 8 GB of LPDDR4 memory on a 128-bit bus, providing a bandwidth of 59.71 GB/s, with memory clocked at 1866 MHz (3.7 Gbps effective). This configuration yields a balanced, albeit modest, throughput profile for embedded applications.
The absence of benchmark scores means that any interpretation of its performance relative to other GPUs is grounded purely in these theoretical peak rates. The FP32 output of 665.6 GFLOPS is indicative of a processor designed for efficiency over brute force, likely suited for concurrent, low-latency inference tasks rather than sustained high-end graphics rendering. The data suggests a device that can handle a specific set of compute workloads, but the lack of empirical testing data prevents a definitive ranking against other hardware in terms of real-world application performance.
How It Compares
The the benchmark database provides no `nearestRivals` data, meaning there are no direct competitor names, scores, or deltaPct values to reference. Consequently, a positional analysis against specific alternative GPUs cannot be constructed from the available facts. The device’s percentile rank of 50 suggests that it sits in the middle of the overall performance distribution, but without rival identifiers, this is a statistical placement without concrete comparative anchors.
The Jetson TX2 must therefore be understood as a standalone entity within this database context. Its architecture is Pascal, and it is part of the Tegra generation, which distinguishes it from more common discrete GPU lineups. The bus interface is PCIe 2.0 x4, which is an older and narrower link compared to modern standards, further indicating its embedded focus. The display outputs are listed as "Portable Device Dependent," confirming that its visual output capabilities are not standardized and vary by the carrier board. In the absence of rival data, the analysis defaults to a description of the device’s inherent characteristics, which point toward a specialized module for integration into custom hardware solutions rather than a drop-in component for a typical desktop system.
Given the lack of comparative benchmarks, one cannot state that it is faster or slower than any named alternative. The only definitive statement is its median percentile placement, which is a broad positioning metric. The data indicates that this is a product with a defined niche, and its performance profile is not directly comparable to the mainstream GPUs that typically populate a benchmark database.
Ray Tracing and Feature Set
The Jetson TX2 does not include dedicated ray tracing hardware. The the benchmark database lists `rtCores` as null, confirming the absence of specialized RT cores. Similarly, the `tensorCores` field is null, indicating that the Pascal-based GP10B does not feature the tensor processing units found in later NVIDIA architectures. This means that hardware-accelerated ray tracing and AI-specific tensor operations are not supported by this chip.
The feature set is instead defined by its API support. The device supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.2. The DirectX 12_1 feature level includes capabilities like conservative rasterization and rasterizer-ordered views, but it does not include the DirectX Raytracing (DXR) tier that requires dedicated hardware. The Vulkan 1.2 support allows for access to modern graphics features, but again, ray tracing extensions (VK_KHR_ray_tracing) would be dependent on hardware capabilities that are absent here.
For compute workloads, the FP16 performance at 1,331.2 GFLOPS is double the FP32 rate, which is a feature of the Pascal architecture that allows for increased throughput in applications that can utilize half-precision arithmetic. This is relevant for machine learning inference tasks that are tolerant of reduced precision. The 16nm process node from TSMC is a mature manufacturing technology, and the chip’s specifications reflect a design focused on delivering a balance of compute and power efficiency. The lack of RT and tensor cores positions the TX2 as a general-purpose compute device rather than a specialized accelerator for modern graphics effects or deep learning training.
Power and Cooling
The Jetson TX2 has a thermal design power (TDP) of 15 W. This is a low-power specification, indicating that the device is engineered for environments where thermal dissipation and energy consumption are critical constraints. The slot width is listed as "IGP" (Integrated Graphics Processor), which suggests that the module is designed to be integrated onto a carrier board rather than installed into a standard PCIe slot. The power connectors field is null, and there is no suggested PSU listed in the the benchmark database.
The absence of a power connector specification implies that power is delivered through the carrier board’s own circuitry, rather than through a supplementary external connector. The bus interface is PCIe 2.0 x4, which provides a data link but does not necessarily dictate power delivery. The physical dimensions are 87 mm in length (3.4 inches) and 50 mm in height (2 inches), which are compact measurements suitable for space-constrained applications. Given the 15 W TDP, a capable air cooler with a small footprint would likely suffice for thermal management, but the specific cooling solution is not detailed in the data. The low power draw is a defining characteristic, allowing for passive cooling solutions or small active fans in embedded systems. The end-of-life production status suggests that while the device was designed for longevity in industrial applications, its production cycle has concluded.
Who Should Consider It
The Jetson TX2 is a niche product, and its suitability is dictated by the specific requirements of the target application, which the benchmark scores do not clarify due to the lack of data. Given its 15 W TDP and 8 GB of LPDDR4 memory, the device is intended for scenarios where power efficiency is paramount and space is limited. The FP32 performance of 665.6 GFLOPS indicates a capability for moderate parallel processing, but it is not designed for high-resolution gaming or heavy 3D rendering at high settings.
The device is best considered for embedded or edge computing roles where the workload is predefined and optimized for the hardware. The support for OpenGL 4.6 and Vulkan 1.2 allows for custom graphics applications, but the pixel rate of 20.80 GPixel/s and texture rate of 20.80 GTexel/s suggest a ceiling for visual complexity. For inference tasks, the FP16 throughput of 1,331.2 GFLOPS could be leveraged for neural network workloads, provided the software is written to utilize half-precision operations.
The 50th percentile ranking, while lacking comparative context, suggests that the hardware is not an outlier in either performance or capability within the entire GPU landscape. It is a mid-pack performer in a database that likely includes a wide range of devices, from integrated graphics to high-end discrete cards. Therefore, the Jetson TX2 is not for users seeking high frame rates at 4K resolution or maximum graphical fidelity. Instead, it targets developers and system integrators who need a compact, low-power compute module with a defined feature set for a specific embedded task. The end-of-life status means that new designs might consider this for legacy support or where the form factor and power envelope are already established in a product line.
Compare Jetson TX2 with Other GPUs
Select another GPU to compare specifications and benchmarks side-by-side.
Browse GPUs