Intel Arc A380E x2 vs NVIDIA Jetson T5000 Comparison

Head-to-Head Benchmarks

The database lists no direct head-to-head benchmark results for the Intel Arc A380E x2 versus the NVIDIA Jetson T5000, so the comparison rests entirely on the recorded specification data. The two products target different segments, yet the numbers reveal clear performance deltas in several key areas.

The NVIDIA Jetson T5000 delivers roughly double the FP32 compute of the Intel Arc A380E x2. The Jetson T5000 records 8.064 TFLOPS, while the Arc A380E x2 records 4.096 TFLOPS. That is a 96.9% advantage for the NVIDIA part, placing it firmly ahead in general-purpose single-precision workloads. The FP16 comparison behaves differently: the Jetson T5000 maintains a 1:1 ratio at 8.064 TFLOPS, whereas the Arc A380E x2 reaches 8.192 TFLOPS via a 2:1 rate. The Intel part narrowly edges ahead by 1.6% in FP16 peak throughput, which suggests a slight advantage in workloads that can exploit packed half-precision arithmetic, though the NVIDIA part's steady 1:1 FP16 throughput offers more consistent precision across both formats.

Pixel throughput favors the Intel Arc A380E x2, with 64.00 GPixel/s versus 50.40 GPixel/s for the Jetson T5000, a 27.0% margin. Texture rate is nearly identical: the Intel part records 128.0 GTexel/s, the NVIDIA part records 126.0 GTexel/s, a 1.6% difference. The Arc A380E x2's higher clock speed, 2000 MHz base and boost, contributes to these rasterization edges, while the Jetson T5000 runs at 1386 MHz base and 1575 MHz boost.

Memory bandwidth swings heavily toward the NVIDIA Jetson T5000, which records 273.2 GB/s against 186.0 GB/s for the Intel part, a 46.9% advantage. The Jetson T5000 also carries 128 GB of LPDDR5X memory on a 256 bit bus, while the Arc A380E x2 uses 6 GB of GDDR6 on a 96 bit bus. Memory capacity differences are stark, but the bandwidth gap matters more for sustained compute throughput.

The shading unit count favors NVIDIA, 2560 versus 1024, a 150% lead. Tensor cores exist only on the Jetson T5000, with 96 units, while the Arc A380E x2 lists none. Ray tracing cores also favor NVIDIA, 20 versus 8, a 150% lead. The Intel part does hold a 64 TMU count versus 80 TMUs on the NVIDIA part, which slightly narrows the texture throughput gap given the clock differences.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA Jetson T5000 records 8.064 TFLOPS, which is 96.9% higher than the Intel Arc A380E x2's 4.096 TFLOPS.

Q: How do the two compare in FP16 performance?

A: The Intel Arc A380E x2 reaches 8.192 TFLOPS through a 2:1 rate, slightly ahead of the Jetson T5000's 8.064 TFLOPS at a 1:1 rate, a 1.6% difference.

Q: Which GPU provides more memory bandwidth?

A: The NVIDIA Jetson T5000 provides 273.2 GB/s, a 46.9% advantage over the Intel Arc A380E x2's 186.0 GB/s.

Q: What are the memory capacities of each GPU?

A: The Intel Arc A380E x2 has 6 GB of GDDR6 on a 96 bit bus, while the NVIDIA Jetson T5000 has 128 GB of LPDDR5X on a 256 bit bus.

Q: Does either GPU include tensor cores?

A: The NVIDIA Jetson T5000 includes 96 tensor cores; the Intel Arc A380E x2 records no tensor core count.

Q: Which GPU has a higher pixel fill rate?

A: The Intel Arc A380E x2 records 64.00 GPixel/s, which is 27.0% higher than the NVIDIA Jetson T5000's 50.40 GPixel/s.

Architecture Differences

The Intel Arc A380E x2 uses the DG2-128 chip based on Intel's Xe-HPG architecture, part of the Alchemist generation in the Arc 3 series. It is fabricated on a 6 nm process at TSMC, containing 7,200 million transistors on a 157 mm² die, resulting in a transistor density of 45.9 million per mm². The NVIDIA Jetson T5000 uses the GB10B chip based on NVIDIA's Blackwell architecture, part of the Server Blackwell generation. It is fabricated on a 5 nm process at TSMC, with the die size listed at 391 mm² and transistor count listed as unknown.

The Intel architecture supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, positioning it as a graphics-oriented device with full modern API coverage. The NVIDIA Jetson T5000 lists no API support, recording N/A for DirectX, OpenGL, and Vulkan, which aligns with its server-oriented role rather than a client graphics card. The Jetson T5000 has no display outputs, while the Arc A380E x2 provides 8x mini-DisplayPort 2.0 outputs, a clear divergence in intended use.

The NVIDIA part includes 96 tensor cores and 20 ray tracing cores, while the Intel part records 8 ray tracing cores and no tensor cores. The Intel part's Xe-HPG architecture brings a 2:1 FP16 rate, meaning it can double FP16 throughput relative to FP32. The NVIDIA Blackwell architecture runs FP16 at a 1:1 rate, matching FP32 throughput exactly. The Intel part's predecessor is listed as Xe Graphics, and its successor is Battlemage. The NVIDIA part's predecessor is Server Hopper, and its successor is Server Rubin. The production status differs: the Intel part is end-of-life, while the NVIDIA part is active.

Specification Differences

The Intel Arc A380E x2 and NVIDIA Jetson T5000 differ across nearly every recorded specification field.

The process node differs, with the Intel part at 6 nm and the NVIDIA part at 5 nm, both from TSMC. The die sizes diverge substantially: 157 mm² for Intel versus 391 mm² for NVIDIA. Transistor count for the Intel part is 7,200 million, while the NVIDIA part's transistor count is unknown. Transistor density for the Intel part is 45.9 million per mm², with no figure recorded for the NVIDIA part.

Clock speeds differ. The Intel part runs at 2000 MHz base and boost, with memory at 1937 MHz or 15.5 Gbps effective. The NVIDIA part runs at 1386 MHz base and 1575 MHz boost, with memory at 1067 MHz or 8.5 Gbps effective.

Memory configurations are far apart. The Intel part has 6 GB of GDDR6 on a 96 bit bus with 186.0 GB/s bandwidth. The NVIDIA part has 128 GB of LPDDR5X on a 256 bit bus with 273.2 GB/s bandwidth.

Compute units differ. The Intel part has 1024 shading units, 64 TMUs, 32 ROPs, and 8 ray tracing cores. The NVIDIA part has 2560 shading units, 80 TMUs, 32 ROPs, 20 ray tracing cores, and 96 tensor cores.

Rates differ. The Intel part records 64.00 GPixel/s pixel rate and 128.0 GTexel/s texture rate, with FP32 at 4.096 TFLOPS and FP16 at 8.192 TFLOPS. The NVIDIA part records 50.40 GPixel/s pixel rate and 126.0 GTexel/s texture rate, with FP32 at 8.064 TFLOPS and FP16 at 8.064 TFLOPS.

Power and physical specs differ. The Intel part has a 130 W TDP, single-slot width, 1x 6-pin power connector, and a suggested PSU of 300 W. The NVIDIA part has a 120 W TDP, IGP slot width, no power connectors, and a suggested PSU of 300 W. The Intel part measures 265 mm by 127 mm by 20 mm, while the NVIDIA part measures 87 mm by 100 mm by 15 mm.

Bus interfaces differ. The Intel part uses PCIe 4.0 x8, while the NVIDIA part uses PCIe 5.0 x8. Display outputs differ: the Intel part has 8x mini-DisplayPort 2.0, the NVIDIA part has no outputs. API support differs, with the Intel part listing DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the NVIDIA part lists N/A for all three. Release dates differ, with the Intel part released in 2024 and the NVIDIA part in 2025. The NVIDIA part has a launch MSRP of 2,999 USD, while the Intel part has no recorded MSRP.

The Verdict

The recorded data points to two distinct roles. The Intel Arc A380E x2 is a graphics-oriented card with modern API support, 8x mini-DisplayPort 2.0 outputs, and a 27.0% pixel fill rate advantage. Its 2:1 FP16 rate gives it a slight edge in half-precision peak throughput. The NVIDIA Jetson T5000 is a compute-oriented server part with no display outputs and no API support, but it doubles FP32 performance, provides 46.9% more memory bandwidth, includes 96 tensor cores, and carries 128 GB of memory.

Users needing rasterization throughput, display connectivity, and DirectX or Vulkan support should favor the Intel Arc A380E x2, which offers 64.00 GPixel/s and full modern graphics API coverage. Users prioritizing raw single-precision compute, memory bandwidth, tensor core throughput, or ray tracing hardware should favor the NVIDIA Jetson T5000, which records 8.064 TFLOPS FP32, 273.2 GB/s bandwidth, 20 ray tracing cores, and 96 tensor cores. The Jetson T5000's 128 GB memory capacity also makes it the stronger candidate for large in-memory datasets. The Intel part is end-of-life, while the NVIDIA part remains active, which may matter for long-term availability. The data shows no single winner across all metrics, but the NVIDIA Jetson T5000 leads in compute-heavy categories, while the Intel Arc A380E x2 leads in graphics-specific categories.