Intel Arc A310E vs NVIDIA RTX 5000 Embedded Ada Generation Comparison

Head-to-Head Benchmarks

The recorded database contains no head-to-head benchmark results for the Intel Arc A310E versus the NVIDIA RTX 5000 Embedded Ada Generation. Both entries show an average benchmark score of zero, and no individual test data is available for either product. This means a direct performance comparison cannot be expressed through measured frame rates or synthetic scores. What can be compared is the theoretical compute capacity derived from the specification sheets, which paints a stark picture of the performance gulf between these two accelerators.

The NVIDIA part delivers 32.69 TFLOPS of FP32 compute, while the Intel part delivers 3.072 TFLOPS. That is roughly a 10.6x advantage for NVIDIA in raw single-precision throughput. In FP16 workloads, the gap narrows slightly in relative terms but remains enormous: NVIDIA sustains 32.69 TFLOPS with a 1:1 ratio, while Intel reaches 6.144 TFLOPS with a 2:1 ratio. The pixel throughput difference is similarly lopsided: 188.2 GPixel/s for NVIDIA versus 32.00 GPixel/s for Intel. Texture rate tells the same story, 510.7 GTexel/s versus 64.00 GTexel/s.

Memory bandwidth is another decisive separation point. The RTX 5000 Embedded Ada accesses 576.0 GB/s over a 256-bit bus, while the Arc A310E must make do with 124.0 GB/s across a 64-bit bus. That is a 4.6x bandwidth advantage for NVIDIA. Any workload that streams large datasets, such as neural network inference or high-resolution texture processing, will be constrained by these numbers. The Intel card also carries only 4 GB of GDDR6, compared to 16 GB on the NVIDIA part, a 4x difference in capacity that limits the size of working sets the Intel card can hold locally.

The absence of measured benchmark data does not change the fundamental outcome. The RTX 5000 Embedded Ada Generation is in a different performance class entirely. The Arc A310E is positioned at the low end of Intel's Alchemist lineup, and its specification profile confirms that role. The NVIDIA part carries 9,728 shading units, 304 TMUs, and 112 ROPs, versus 768 shading units, 32 TMUs, and 16 ROPs for Intel. Every arithmetic and texture-related metric favors the larger silicon.

FAQ

Q: How much faster is the NVIDIA RTX 5000 Embedded Ada in FP32 compute than the Intel Arc A310E?

A: The RTX 5000 delivers 32.69 TFLOPS of FP32, while the Arc A310E delivers 3.072 TFLOPS. That places NVIDIA at approximately 10.6 times the FP32 throughput of the Intel part.

Q: Which GPU has more memory bandwidth?

A: NVIDIA. The RTX 5000 Embedded Ada reaches 576.0 GB/s over a 256-bit GDDR6 interface, versus 124.0 GB/s over a 64-bit interface for the Arc A310E.

Q: Do both GPUs support the same graphics APIs?

A: Yes. Both list DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 in the database.

Q: What is the thermal design power of each card?

A: The Intel Arc A310E is rated at 75 W, while the NVIDIA RTX 5000 Embedded Ada is rated at 120 W.

Q: How do the transistor counts compare?

A: The RTX 5000 uses 45,900 million transistors on a 5 nm process, while the Arc A310E uses 7,200 million transistors on a 6 nm process. Both are fabricated by TSMC.

Q: Which GPU has more RT cores?

A: NVIDIA. The RTX 5000 has 76 RT cores, while the Arc A310E has 6.

Q: What is the production status of each?

A: The Arc A310E is marked as end-of-life, with a successor named Battlemage. The RTX 5000 Embedded Ada is active, with a successor named Blackwell-MW.

The Verdict

The data indicates that these two GPUs serve completely different market segments. The Intel Arc A310E is a 75 W, single-slot, low-profile part with 4 GB of memory and modest compute resources. Its specification profile suits lightweight display tasks, basic media acceleration, or embedded systems where the 168 mm length and 20 mm width fit tight enclosures. The absence of a power connector and a 250 W suggested PSU further confirm its low-power design intent.

The NVIDIA RTX 5000 Embedded Ada Generation, by contrast, is a 120 W integrated graphics processor (IGP) with 16 GB of GDDR6, 9,728 shading units, 76 RT cores, and 304 tensor cores. It targets compute-heavy embedded workloads: AI inference, professional visualization, and CUDA-accelerated processing. The 32.69 TFLOPS FP32 figure and 576.0 GB/s bandwidth are the numbers that matter for those applications.

There is no scenario in the recorded data where the Arc A310E wins on raw performance. The RTX 5000 is ahead by roughly an order of magnitude in FP32 throughput, texture rate, pixel rate, and memory bandwidth. Even in FP16, where Intel's 2:1 ratio gives it a relative boost, the absolute figure of 6.144 TFLOPS remains far below NVIDIA's 32.69 TFLOPS with a 1:1 ratio.

The Arc A310E does hold advantages in physical footprint and power draw. At 75 W versus 120 W, it consumes less power. At 168 mm length, it is compact. It also has a defined display output configuration: four mini-DisplayPort 2.0 connections, whereas the NVIDIA part's display outputs are listed as "Portable Device Dependent." For systems that need a simple, low-power GPU with fixed display outputs and do not require high compute throughput, the Arc A310E fits. For any workload that demands significant graphics or compute performance, the RTX 5000 Embedded Ada is the only rational choice.

Specification Differences

The two GPUs differ in nearly every measured specification. The Arc A310E uses 7,200 million transistors on a 157 mm² die, while the RTX 5000 uses 45,900 million on a 379 mm² die. Transistor density is 45.9M per mm² for Intel and 121.1M per mm² for NVIDIA. The process node is 6 nm for Intel and 5 nm for NVIDIA, both from TSMC.

Clock behavior differs substantially. The Arc A310E runs at a flat 2000 MHz base and boost, while the RTX 5000 has a 930 MHz base and 1680 MHz boost. Memory clock is 1937 MHz (15.5 Gbps effective) for Intel and 2250 MHz (18 Gbps effective) for NVIDIA. The memory interface is 64-bit for Intel and 256-bit for NVIDIA, yielding 124.0 GB/s versus 576.0 GB/s bandwidth.

Compute resources are dramatically different. Intel has 768 shading units, 32 TMUs, 16 ROPs, and 6 RT cores, with no tensor cores listed. NVIDIA has 9,728 shading units, 304 TMUs, 112 ROPs, 76 RT cores, and 304 tensor cores. Pixel rate is 32.00 GPixel/s for Intel and 188.2 GPixel/s for NVIDIA. Texture rate is 64.00 GTexel/s versus 510.7 GTexel/s. FP32 is 3.072 TFLOPS versus 32.69 TFLOPS. FP16 is 6.144 TFLOPS (2:1) versus 32.69 TFLOPS (1:1).

Power and physical design diverge as well. The Arc A310E draws 75 W and is single-slot with dimensions of 168 mm by 69 mm by 20 mm. The RTX 5000 is an IGP with no listed dimensions. The Intel card has a 250 W suggested PSU and no power connector; the NVIDIA card has no suggested PSU and no power connector. Bus interface is PCIe 4.0 x8 for Intel and PCIe 4.0 x16 for NVIDIA. Display outputs are four mini-DisplayPort 2.0 for Intel and "Portable Device Dependent" for NVIDIA. The Arc A310E is end-of-life with a Battlemage successor; the RTX 5000 is active with a Blackwell-MW successor. Release dates are March 2023 for NVIDIA and March 2024 for Intel.

Architecture Differences

Intel's Arc A310E is built on the Xe-HPG architecture, specifically the DG2-128 chip, and belongs to the Alchemist generation (Arc 3). It uses a 6 nm TSMC process. The architecture includes hardware ray tracing through 6 RT cores, but no tensor cores are present in the database entry. FP16 throughput is achieved through a 2:1 ratio, meaning the hardware processes two FP16 operations per FP32 operation, which is a common consumer GPU design choice. Intel lists "Xe Graphics" as the predecessor and "Battlemage" as the successor.

NVIDIA's RTX 5000 Embedded Ada Generation uses the Ada Lovelace architecture on the AD103 chip, fabricated on a 5 nm TSMC process. It includes 76 RT cores and 304 tensor cores, the latter enabling accelerated AI and deep learning workloads. FP16 is handled at a 1:1 ratio, so FP16 throughput equals FP32 throughput. The generation field lists "Ada-MW," indicating a mobile or embedded workstation variant. The predecessor is "Ampere-MW" and the successor is "Blackwell-MW."

The architectural divide is clear: Intel's Xe-HPG is a general-purpose graphics architecture with limited ray tracing and no dedicated tensor hardware, while NVIDIA's Ada Lovelace is a full-featured compute architecture with dedicated tensor cores, a much larger shader array, and a wider memory subsystem. The transistor density difference, 121.1M per mm² versus 45.9M per mm², reflects both the newer process node and the different design priorities. The RTX 5000 packs more than six times the transistors into roughly 2.4 times the die area.

Where Each One Wins

The Intel Arc A310E wins in power efficiency and physical integration. Its 75 W TDP is lower than the RTX 5000's 120 W, and its 168 mm length, 69 mm height, and 20 mm width make it a compact single-slot card. The four mini-DisplayPort 2.0 outputs provide a fixed, known display configuration, which is useful for multi-monitor embedded systems. The PCIe 4.0 x8 interface is sufficient for its bandwidth needs. The 250 W suggested PSU requirement is modest, allowing installation in systems with smaller power supplies. The 4 GB GDDR6 memory, while small, is adequate for framebuffer-only workloads.

The NVIDIA RTX 5000 Embedded Ada Generation wins in every performance category recorded. Its 32.69 TFLOPS FP32 and FP16 throughput, 576.0 GB/s memory bandwidth, 16 GB memory capacity, 76 RT cores, and 304 tensor cores position it for heavy compute tasks. The 256-bit memory bus prevents bandwidth bottlenecks in large data transfers. The 1:1 FP16 ratio means no precision compromise for AI workloads that benefit from half-precision arithmetic. The PCIe 4.0 x16 interface doubles the lane count available to Intel's x8 connection.

For use cases, the split is straightforward. Systems that need basic graphics output, low power draw, and a small physical footprint should consider the Arc A310E. Systems that run AI inference, real-time ray tracing, professional visualization, or any compute-intensive embedded workload should use the RTX 5000 Embedded Ada Generation. The benchmark data, while sparse, aligns with the specification differences: the RTX 5000 is the high-performance option, and the Arc A310E is the low-power, compact option. There is no overlap in their intended deployment scenarios based on the recorded data.