super-resolution benchmarks on edge AI hardware
100 published rows. Each table compares only results with the same model-size class and batch size. Search this workload · JSON.
Fastest in the best-covered like-for-like group (mid-size CNN, batch unknown): AMD Versal AI Core VCK190 (VC1902) at 462 FPS D Older data (2023). 3 groups, 8 platforms.
Show data — 3 like-for-like tables
mid-size CNN · batch unknown (4 platforms)
✓ Like-for-like: model-size class mid-size CNN, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Versal AI Core VCK190 (VC1902) | 462 FPS E2E throughput, multi thread · b=unknown | pt_DRUNet_Kvasir_528_608_0.4G INT8 · Vitis AI 3.0 (VART) · mid-size CNN | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 191 FPS E2E throughput, multi thread · b=unknown | pt_DRUNet_Kvasir_528_608_0.4G INT8 · Vitis AI 3.0 (VART) · mid-size CNN | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
| AMD Zynq UltraScale+ ZCU104 (ZU7EV) | 152 FPS E2E throughput, multi thread · b=unknown | pt_DRUNet_Kvasir_528_608_0.4G INT8 · Vitis AI 3.0 (VART) · mid-size CNN | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | 77.69 FPS E2E throughput, multi thread · b=unknown | pt_DRUNet_Kvasir_528_608_0.4G INT8 · Vitis AI 3.0 (VART) · mid-size CNN | D | 7.50 W spec reported in result source — spec | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
unknown · batch 1 (2 platforms)
✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| MemryX MX3 M.2 module | 6963 FPS throughput · b=1 | SG-Low-Light-Image-Enhancement not stated (MX3 activations BF16 / weights 4-8-16 bit per vendor) · MemryX SDK 2.2 (closed-loop compiled DFP) · unknown | C | unknown power n/a no power published | MemryX Model Explorer (SDK 2.2) 2026-07-15 (published) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 168 FPS inference_time · b=1 | QuickSRNetSmall-Quantized INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · unknown | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
unknown · batch unknown (6 platforms)
✓ Like-for-like: model-size class unknown, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Versal AI Core VCK190 (VC1902) | 5443 FPS E2E throughput, multi thread · b=unknown | pt_xilinxSR_360_640_DIV2K_364.88G INT8 · Vitis AI 3.0 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
| AMD Versal AI Edge VEK280 (VE2802) | 576 FPS E2E throughput, multi thread · b=unknown | pt_SESR-S_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) | 298 FPS E2E throughput, multi thread · b=unknown | pt_SESR-S_3.5 INT8 · Vitis AI 3.5 (VART) · unknown | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
| AMD Zynq UltraScale+ ZCU104 (ZU7EV) | 146 FPS E2E throughput, multi thread · b=unknown | pt_SESR-S_DIV2K_360_640_10.2G INT8 · Vitis AI 3.0 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 143 FPS E2E throughput, multi thread · b=unknown | pt_SESR-S_DIV2K_360_640_10.2G INT8 · Vitis AI 3.0 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | 105 FPS E2E throughput, multi thread · b=unknown | pt_SESR-S_DIV2K_360_640_10.2G INT8 · Vitis AI 3.0 (VART) · unknown | D | 7.50 W spec reported in result source — spec | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
How to read these numbers
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.
Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.