| User | saisusaku |
| Upload Date | January 14 2025 12:50 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UU_GA403UU |
| Motherboard | ASUSTeK COMPUTER INC. GA403UU |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
6926
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3263
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5041
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
19748
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
7085
569.4 IPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
8545
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6121
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2090
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8349
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10876
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9735
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20995
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2784
103.1 IPS |
|
|
Text Classification (SP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.8 IPS |
|
|
Text Classification (Q)
|
97% |
1796
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
65% |
2153
43.3 IPS |