NVIDIA RTX A5500 Mobile vs NVIDIA Tesla T4 Comparison

Head-to-Head Benchmarks

The recorded data shows a decisive victory for the NVIDIA RTX A5500 Mobile across every measured workload. In the Geekbench OpenCL test, the A5500 Mobile scores 124,287 points, while the Tesla T4 manages 61,276 points. That is a 102.8% advantage, meaning the A5500 Mobile delivers more than double the raw compute throughput in this API. The Vulkan result is closer but still one-sided: the A5500 Mobile posts 103,601 points against the Tesla T4’s 72,190, a 43.5% lead.

Looking at the broader database context, the A5500 Mobile sits at the 94th percentile among all GPUs, with an average benchmark score of 113,944. The Tesla T4, by contrast, occupies the 90th percentile with an average of 66,733. The gap in absolute performance is substantial, but the percentile difference of just four points suggests that the Tesla T4 is still a respectable performer in its own tier, even if it cannot match the A5500 Mobile’s raw output.

The nearest rivals for the A5500 Mobile include the NVIDIA Tesla V100 SXM2 16 GB, which scores 114,395 on average, just 0.4% higher than the A5500 Mobile. The NVIDIA RTX 4000 SFF Ada Generation scores 117,088, 2.7% higher, while the AMD Radeon PRO W7900 scores 110,725, 2.9% lower. The NVIDIA GB10 scores 117,393, 2.9% higher. This places the A5500 Mobile in a tight cluster where small percentage swings separate competitors, yet it still outpaces the Tesla T4 by a wide margin.

For the Tesla T4, its nearest rivals tell a different story. The AMD Radeon VII scores 66,004, just 1.1% lower, while the NVIDIA Tesla P40 scores 65,095, 2.5% lower. The AMD Radeon Instinct MI25 scores 68,562, 2.7% higher, and the Intel Arc A770 scores 68,809, 3% higher. The Tesla T4 holds its own against these older or mid-range accelerators, but none of them approach the A5500 Mobile’s score.

In the head-to-head table, the A5500 Mobile wins both tests, giving it a clean 2-0 record. The OpenCL margin of 102.8% is the single largest delta, while the Vulkan margin of 43.5% still represents a comfortable victory. The data does not support any scenario where the Tesla T4 outperforms the A5500 Mobile in these workloads.

Architecture Differences

The two GPUs come from different architectural generations, and that explains much of the performance gap. The RTX A5500 Mobile uses the GA103 chip, built on the Ampere architecture with an 8 nm process from Samsung. The Tesla T4 uses the TU104 chip, based on the older Turing architecture, manufactured on a 12 nm process from TSMC. The node difference is significant: the A5500 Mobile packs 22,000 million transistors into a 496 mm² die, yielding a transistor density of 44.4 million per square millimeter. The Tesla T4 has 13,600 million transistors on a larger 545 mm² die, giving it a density of just 25.0 million per square millimeter.

This density advantage translates directly into compute resources. The A5500 Mobile features 7,424 shading units, 232 texture mapping units, and 96 render output units. The Tesla T4 has 2,560 shading units, 160 TMUs, and 64 ROPs. That is nearly three times the shading units on the A5500 Mobile. The ray tracing cores tell a similar story: the A5500 Mobile has 58 RT cores, while the Tesla T4 has 40. Tensor cores differ in count as well, with the A5500 Mobile featuring 232 tensor cores versus the Tesla T4’s 320. The Tesla T4 actually has more tensor cores, but the A5500 Mobile’s newer architecture and higher clock speeds compensate.

Clock behavior also diverges. The A5500 Mobile runs at a base clock of 975 MHz and boosts to 1500 MHz. The Tesla T4 has a lower base clock of 585 MHz but a higher boost clock of 1590 MHz. The A5500 Mobile’s higher base clock suggests better sustained performance under load, while the Tesla T4’s boost clock is only slightly higher, not enough to offset its massive deficit in shading units.

The FP32 compute figures are telling. The A5500 Mobile delivers 22.27 TFLOPS, while the Tesla T4 manages only 8.141 TFLOPS. For FP16, the A5500 Mobile again posts 22.27 TFLOPS at a 1:1 ratio, meaning it treats FP16 and FP32 with equal throughput. The Tesla T4, however, achieves 16.28 TFLOPS at a 2:1 ratio, indicating that its FP16 performance is doubled relative to FP32. This makes the Tesla T4 relatively stronger in FP16 workloads, but the A5500 Mobile still has a higher absolute FP16 number.

Memory configurations are identical in capacity and type: both have 16 GB of GDDR6 on a 256-bit bus. The bandwidth, however, favors the A5500 Mobile at 512.0 GB/s versus the Tesla T4’s 320.0 GB/s. The A5500 Mobile runs its memory at 2000 MHz with 16 Gbps effective speed, while the Tesla T4 runs at 1250 MHz with 10 Gbps effective speed. Pixel and texture rates follow the same pattern: the A5500 Mobile achieves 144.0 GPixel/s and 348.0 GTexel/s, while the Tesla T4 reaches 101.8 GPixel/s and 254.4 GTexel/s.

The bus interface differs as well. The A5500 Mobile uses PCIe 4.0 x16, while the Tesla T4 uses PCIe 3.0 x16. Power consumption is a major differentiator: the A5500 Mobile has a TDP of 165 W, while the Tesla T4 draws only 70 W. The Tesla T4 is also a single-slot card with a length of 168 mm (6.6 inches), while the A5500 Mobile’s dimensions are listed as portable device dependent. The Tesla T4 has no display outputs, while the A5500 Mobile’s outputs are also listed as portable device dependent.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA RTX A5500 Mobile has an average benchmark score of 113,944, compared to the NVIDIA Tesla T4’s 66,733. The A5500 Mobile also holds a higher percentile ranking at 94 versus the Tesla T4’s 90.

Q: How large is the OpenCL performance gap between the two?

A: In Geekbench OpenCL, the A5500 Mobile scores 124,287, while the Tesla T4 scores 61,276. This gives the A5500 Mobile a 102.8% advantage, meaning it is more than twice as fast in this test.

Q: Does the Tesla T4 have any architectural advantage over the A5500 Mobile?

A: The Tesla T4 has more tensor cores (320 versus 232) and a higher boost clock (1590 MHz versus 1500 MHz). It also achieves higher FP16 throughput relative to FP32 at a 2:1 ratio, compared to the A5500 Mobile’s 1:1 ratio.

Q: What is the power consumption difference?

A: The A5500 Mobile has a TDP of 165 W, while the Tesla T4 draws only 70 W. The Tesla T4 also lists a suggested PSU of 250 W, while the A5500 Mobile has no suggested PSU listed.

Q: Which GPU has higher memory bandwidth?

A: The A5500 Mobile delivers 512.0 GB/s, while the Tesla T4 provides 320.0 GB/s. Both use 16 GB of GDDR6 memory on a 256-bit bus, but the A5500 Mobile runs at a higher effective memory speed of 16 Gbps versus 10 Gbps.

Q: Are these GPUs still in production?

A: Both are marked as end-of-life in the database. The A5500 Mobile was released on 2022-03-21, while the Tesla T4 was released earlier on 2018-09-12.

Specification Differences

The following fields differ between the two GPUs, based on recorded data:

• Chip: GA103 (A5500 Mobile) versus TU104 (Tesla T4)
• Architecture: Ampere versus Turing
• Process Node: 8 nm (Samsung) versus 12 nm (TSMC)
• Transistors: 22,000 million versus 13,600 million
• Die Size: 496 mm² versus 545 mm²
• Transistor Density: 44.4M / mm² versus 25.0M / mm²
• Base Clock: 975 MHz versus 585 MHz
• Boost Clock: 1500 MHz versus 1590 MHz
• Memory Clock: 2000 MHz (16 Gbps effective) versus 1250 MHz (10 Gbps effective)
• Memory Bandwidth: 512.0 GB/s versus 320.0 GB/s
• Shading Units: 7424 versus 2560
• Texture Mapping Units: 232 versus 160
• Render Output Units: 96 versus 64
• Ray Tracing Cores: 58 versus 40
• Tensor Cores: 232 versus 320
• Pixel Rate: 144.0 GPixel/s versus 101.8 GPixel/s
• Texture Rate: 348.0 GTexel/s versus 254.4 GTexel/s
• FP32 Performance: 22.27 TFLOPS versus 8.141 TFLOPS
• FP16 Performance: 22.27 TFLOPS (1:1) versus 16.28 TFLOPS (2:1)
• TDP: 165 W versus 70 W
• Slot Width: Not listed versus Single-slot
• Suggested PSU: Not listed versus 250 W
• Bus Interface: PCIe 4.0 x16 versus PCIe 3.0 x16
• Display Outputs: Portable Device Dependent versus No outputs
• Dimensions: Not listed versus 168 mm (6.6 inches) length
• Release Date: 2022-03-21 versus 2018-09-12
• Predecessor: Quadro Turing-M versus Tesla Volta
• Successor: Ada-MW versus Server Ampere

Fields that are identical include memory size (16 GB), memory type (GDDR6), memory bus width (256 bit), DirectX support (12 Ultimate), OpenGL support (4.6), Vulkan support (1.4), and production status (end-of-life).

The Verdict

The benchmark data is unambiguous: the NVIDIA RTX A5500 Mobile is the superior performer in every recorded test. It wins the OpenCL test by 102.8% and the Vulkan test by 43.5%, giving it a perfect 2-0 record in head-to-head comparisons. Its average benchmark score of 113,944 places it at the 94th percentile, while the Tesla T4’s 66,733 places it at the 90th percentile.

The architecture gap explains the performance difference. The A5500 Mobile’s Ampere design on an 8 nm node provides nearly three times the shading units, more than double the FP32 throughput, and 60% higher memory bandwidth. The Tesla T4’s Turing architecture on 12 nm cannot compensate for these fundamental resource deficits, despite having more tensor cores and a slightly higher boost clock.

The Tesla T4 does have one clear advantage: power efficiency. At 70 W, it draws less than half the power of the A5500 Mobile’s 165 W. This makes the Tesla T4 suitable for power-constrained environments, but the performance penalty is steep. The data does not suggest any workload where the Tesla T4 outperforms the A5500 Mobile; it only suggests scenarios where lower power consumption might be prioritized over raw speed.

For users who need maximum compute throughput in OpenCL or Vulkan workloads, the A5500 Mobile is the clear choice. For those who require a single-slot, low-power accelerator with 16 GB of memory and are willing to accept significantly lower performance, the Tesla T4 remains a viable option.

Where Each One Wins

NVIDIA RTX A5500 Mobile wins on raw performance. The OpenCL score of 124,287 is more than double the Tesla T4’s 61,276. The Vulkan score of 103,601 is 43.5% higher than the Tesla T4’s 72,190. The A5500 Mobile also leads in every compute metric: FP32 at 22.27 TFLOPS versus 8.141 TFLOPS, FP16 at 22.27 TFLOPS versus 16.28 TFLOPS, pixel rate at 144.0 GPixel/s versus 101.8 GPixel/s, and texture rate at 348.0 GTexel/s versus 254.4 GTexel/s. Memory bandwidth is also decisively in its favor at 512.0 GB/s versus 320.0 GB/s.

NVIDIA Tesla T4 wins on power and form factor. Its TDP of 70 W is less than half the A5500 Mobile’s 165 W. It is a single-slot card with a defined length of 168 mm, while the A5500 Mobile’s dimensions are portable device dependent, meaning its physical footprint is not fixed. The Tesla T4 also has no display outputs, which may be preferable in headless server environments. Its higher boost clock of 1590 MHz and greater tensor core count of 320 do not translate into benchmark wins, but they do indicate a design optimized for specific inference workloads rather than general compute.

Use-case split: Choose the A5500 Mobile for compute-heavy tasks that benefit from high FP32 throughput, high memory bandwidth, and modern PCIe 4.0 connectivity. Choose the Tesla T4 for deployment scenarios where power draw is critical, space is limited to a single slot, and the workload can tolerate lower absolute performance. The database shows the A5500 Mobile wins both recorded benchmarks, so any decision to pick the Tesla T4 must be based on operational constraints rather than measured speed.