Intel Arc A310E vs NVIDIA RTX 5000 Max-Q Ada Generation Comparison

Head-to-Head Benchmarks

The database contains no recorded benchmark scores for either the Intel Arc A310E or the NVIDIA RTX 5000 Max-Q Ada Generation. Both entries list an average benchmark score of zero, and the head-to-head benchmark table is empty. Consequently, there are no measured performance deltas, no wins for either product, and no percentile shifts to report. The only performance-related figures available are theoretical peak rates derived from the clock and shader specifications, which indicate a massive computational gulf between the two parts.

The Intel Arc A310E delivers a FP32 throughput of 3.072 TFLOPS, while the NVIDIA RTX 5000 Max-Q Ada Generation reaches 32.69 TFLOPS, a factor of roughly 10.6 times higher. In raw pixel throughput, the NVIDIA part outputs 188.2 GPixel/s versus 32.00 GPixel/s for the Intel part, a 5.9 times advantage. Texture rate tells a similar story: 510.7 GTexel/s against 64.00 GTexel/s, an 8.0 times difference. These figures represent the theoretical maxima under ideal conditions, not application-level results, and the absence of real benchmark data means the database cannot confirm how these translate into actual frame rates or compute workloads.

Both products support identical API feature sets: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. That parity means software compatibility does not separate them. The differentiators are purely hardware scale and power envelope. The Intel part operates at a 75 W TDP, the NVIDIA part at 120 W TDP. The NVIDIA card achieves its higher throughput while drawing 45 W more, but the efficiency ratio, when calculated from the FP32 numbers, still strongly favors the larger chip.

Where Each One Wins

With no benchmark scores, the wins for each product must be inferred from architectural capacity and physical specifications. The Intel Arc A310E wins in the category of physical footprint and installation flexibility. It is a single-slot card measuring 168 mm in length, 69 mm in height, and 20 mm in width, with no auxiliary power connectors required. It draws 75 W and carries a suggested PSU rating of 250 W. This makes it suitable for compact systems where space and power supply headroom are constrained. The NVIDIA RTX 5000 Max-Q Ada Generation, by contrast, is listed as an IGP (integrated graphics processor) with no dimensions and no PSU recommendation, meaning it is designed for direct integration into a mobile or embedded platform, not for a standard expansion slot.

The NVIDIA part wins decisively on every measure of raw compute throughput. Its FP32 rate of 32.69 TFLOPS is more than ten times the Intel's 3.072 TFLOPS. Its FP16 rate is 32.69 TFLOPS as well, due to a 1:1 ratio, while the Intel part delivers 6.144 TFLOPS at FP16 with a 2:1 ratio. The NVIDIA part also carries 304 tensor cores, which the Intel part lacks entirely, a significant advantage for any machine learning or AI inference workload that can leverage tensor operations. The NVIDIA part's 76 RT cores versus 6 for Intel also indicates a substantial lead in ray tracing throughput, although no specific ray tracing benchmarks exist in the database to quantify it.

Memory capacity and bandwidth also split cleanly. The NVIDIA part has 16 GB of GDDR6 memory on a 256-bit bus, yielding 576.0 GB/s of bandwidth. The Intel part has 4 GB of GDDR6 on a 64-bit bus, yielding 124.0 GB/s. For workloads that are memory-bound, such as large dataset processing or high-resolution texture streaming, the NVIDIA part provides 4.6 times the bandwidth and 4 times the capacity. The Intel part's smaller memory footprint may still suffice for lightweight embedded or display-only tasks, where the 4x mini-DisplayPort 2.0 outputs provide a distinct connectivity advantage over the NVIDIA part's "Portable Device Dependent" outputs.

Architecture Differences

The two products come from fundamentally different design philosophies. The Intel Arc A310E uses the DG2-128 chip built on TSMC's 6 nm process, with 7,200 million transistors on a 157 mm² die, giving a transistor density of 45.9 million per square millimeter. It belongs to the Alchemist (Arc 3) generation under the Xe-HPG architecture. The NVIDIA RTX 5000 Max-Q Ada Generation uses the AD103 chip built on TSMC's 5 nm process, with 45,900 million transistors on a 379 mm² die, giving a transistor density of 121.1 million per square millimeter. It belongs to the Ada-MW generation under the Ada Lovelace architecture. The NVIDIA chip packs 6.4 times more transistors into 2.4 times the die area, and its density advantage of 2.6 times reflects the more advanced process node.

The execution resources differ by an order of magnitude. The Intel part has 768 shading units, 32 texture mapping units, and 16 render output units. The NVIDIA part has 9,728 shading units, 304 TMUs, and 112 ROPs. That is 12.7 times more shaders, 9.5 times more TMUs, and 7.0 times more ROPs. The NVIDIA part also integrates 76 RT cores and 304 tensor cores, while the Intel part has only 6 RT cores and no tensor cores. Clock speeds tell an interesting inverse story: the Intel part runs at a flat 2000 MHz for both base and boost, while the NVIDIA part has a base clock of 930 MHz and a boost clock of 1680 MHz. The NVIDIA part compensates for lower clocks with vastly wider execution resources.

Memory architecture also diverges. The Intel part uses 4 GB of GDDR6 at 15.5 Gbps effective on a 64-bit bus. The NVIDIA part uses 16 GB of GDDR6 at 18 Gbps effective on a 256-bit bus. The NVIDIA memory clock is higher and the bus is four times wider, resulting in the 576.0 GB/s bandwidth figure. The bus interface differs as well: the Intel card uses PCIe 4.0 x8, while the NVIDIA part uses PCIe 4.0 x16, providing twice the host link bandwidth for data transfer. The Intel part is end-of-life with a release date of March 31, 2024, and its predecessor is Xe Graphics with a successor of Battlemage. The NVIDIA part is active with a release date of March 20, 2023, and its predecessor is Ampere-MW with a successor of Blackwell-MW.

The Verdict

The data shows two products aimed at different segments with no overlapping benchmark results. The Intel Arc A310E is a compact, low-power, end-of-life discrete card with 4 GB of memory, a 64-bit bus, and a 75 W TDP. It delivers 3.072 TFLOPS FP32 and supports four mini-DisplayPort 2.0 outputs. Its 6 nm process and 7.2 billion transistors place it firmly in the entry-level embedded or small-form-factor category. The NVIDIA RTX 5000 Max-Q Ada Generation is an active, mobile-class IGP with 16 GB of memory, a 256-bit bus, and a 120 W TDP. It delivers 32.69 TFLOPS FP32, includes tensor cores, and uses the more advanced 5 nm process with 45.9 billion transistors.

For a system builder constrained by slot space, power draw, and display connectivity, the Intel part offers a self-contained, single-slot solution with no external power connectors and a modest 250 W PSU requirement. For a workload demanding high compute throughput, large memory capacity, or tensor-based acceleration, the NVIDIA part is the only choice, as the Intel part has no tensor cores and less than one-tenth the FP32 throughput. The NVIDIA part also provides more than four times the memory bandwidth, which directly benefits data-heavy rendering or compute tasks.

The absence of measured benchmark scores means no verdict can be rendered on real-world application performance. The theoretical specifications, however, indicate that any workload requiring more than 4 GB of memory, more than 124.0 GB/s of bandwidth, or any tensor core operation will only run on the NVIDIA part. Conversely, any system that cannot accommodate a 120 W IGP or that needs multiple DisplayPort 2.0 outputs will be limited to the Intel part. The production status also matters: the Intel part is end-of-life, while the NVIDIA part remains active, suggesting the NVIDIA part has ongoing availability and support.

FAQ

Q: Which GPU has higher FP32 compute throughput?

A: The NVIDIA RTX 5000 Max-Q Ada Generation delivers 32.69 TFLOPS FP32, while the Intel Arc A310E delivers 3.072 TFLOPS FP32, a difference of roughly 10.6 times.

Q: How much memory and bandwidth does each GPU provide?

A: The Intel Arc A310E has 4 GB of GDDR6 on a 64-bit bus with 124.0 GB/s bandwidth. The NVIDIA RTX 5000 Max-Q Ada Generation has 16 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth.

Q: Do both GPUs support the same DirectX and Vulkan versions?

A: Yes, both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the power consumption of each GPU?

A: The Intel Arc A310E has a TDP of 75 W with a suggested PSU of 250 W. The NVIDIA RTX 5000 Max-Q Ada Generation has a TDP of 120 W and no suggested PSU listed.

Q: Does the Intel Arc A310E have tensor cores?

A: No, the Intel Arc A310E lists no tensor cores. The NVIDIA RTX 5000 Max-Q Ada Generation has 304 tensor cores.

Q: What are the physical dimensions and slot requirements?

A: The Intel Arc A310E is a single-slot card measuring 168 mm by 69 mm by 20 mm with no power connectors. The NVIDIA RTX 5000 Max-Q Ada Generation is an IGP with no listed dimensions or power connectors.