| User | andreicr1 |
| Upload Date | May 02 2025 03:45 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV |
| Motherboard | ASUSTeK COMPUTER INC. GA403UV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2409
448.0 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (Q)
|
99% |
7572
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2446
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4771
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4207
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
21091
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
5278
424.2 IPS |
|
|
Face Detection (SP)
|
100% |
4667
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
9589
114.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6444
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2300
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7859
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11797
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10600
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23447
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3281
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
431
577.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2764
55.5 IPS |