| User | domdtxdissar |
| Upload Date | August 15 2024 06:34 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001277-60_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2834
527.0 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
6112
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
4933
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19262
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18574
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
87918
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
3388
268.8 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
88% |
3426
274.7 IPS |
|
|
Face Detection (SP)
|
100% |
4766
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
97% |
7728
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13576
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1669
12.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
17652
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49050
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39973
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
57725
74.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6575
243.5 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1869
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4590
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4908
109.5 IPS |