| Upload Date | November 17 2025 06:21 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV |
| Motherboard | ASUSTeK COMPUTER INC. GA402XV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2839
527.9 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
7565
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4868
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4904
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4577
5.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
21049
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
7204
578.9 IPS |
|
|
Face Detection (SP)
|
100% |
5553
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
10597
126.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6920
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2357
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8952
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12225
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11488
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25168
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6384
236.4 IPS |
|
|
Text Classification (SP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1754
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3201
64.3 IPS |