WKS-002 vs WKS-002
| WKS-002 | WKS-002 | Difference | |
|---|---|---|---|
| Single Precision | 3075 | 3075 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Half Precision | 1441 | 1441 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Quantized | 3350 | 3350 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| WKS-002 | WKS-002 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 7 5800X | AMD Ryzen 7 5800X |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name | System manufacturer System Product Name |
| Processor |
AMD Ryzen 7 5800X @ 3.80 GHz
1 Processor, 8 Cores, 16 Threads |
AMD Ryzen 7 5800X @ 3.80 GHz
1 Processor, 8 Cores, 16 Threads |
| Processor ID | AuthenticAMD Family 25 Model 33 Stepping 0 | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. 4601 | American Megatrends Inc. 4601 |
| Memory | 64.00 GB | 64.00 GB |
AI Performance
| WKS-002 | WKS-002 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1901 | 1901 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Classification (HP) | 535 | 535 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Classification (Q) | 3764 | 3764 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Segmentation (SP) | 1944 | 1944 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Segmentation (HP) | 892 | 892 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Segmentation (Q) | 2086 | 2086 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Pose Estimation (SP) | 4855 | 4855 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Pose Estimation (HP) | 4018 | 4018 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Pose Estimation (Q) | 11308 | 11308 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Object Detection (SP) | 1980 | 1980 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Object Detection (HP) | 695 | 695 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Object Detection (Q) | 2178 | 2178 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Face Detection (SP) | 2676 | 2676 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Face Detection (HP) | 1506 | 1506 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Face Detection (Q) | 3855 | 3855 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Depth Estimation (SP) | 6301 | 6301 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Depth Estimation (HP) | 2076 | 2076 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Depth Estimation (Q) | 5772 | 5772 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Style Transfer (SP) | 12168 | 12168 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Style Transfer (HP) | 10764 | 10764 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Style Transfer (Q) | 14158 | 14158 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Super-Resolution (SP) | 2355 | 2355 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Super-Resolution (HP) | 1893 | 1893 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Image Super-Resolution (Q) | 3233 | 3233 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Text Classification (SP) | 1915 | 1915 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Text Classification (HP) | 707 | 707 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Text Classification (Q) | 428 | 428 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Machine Translation (SP) | 2300 | 2300 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Machine Translation (HP) | 645 | 645 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
| Machine Translation (Q) | 2113 | 2113 | 100.0% |
| WKS-002 | |||
| WKS-002 | |||
