| User | Strat |
| Upload Date | September 28 2024 07:39 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA |
| Motherboard | ASUSTeK COMPUTER INC. UM3406HA |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1178
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
99% |
2927
545.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1602
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4214
4.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
20441
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
88% |
1735
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
2310
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
1302
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
3694
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4149
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11963
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11305
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19003
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2355
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
573
765.2 IPS |
|
|
Text Classification (Q)
|
97% |
322
431.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1604
35.8 IPS |