| User | aloncy |
| Upload Date | May 28 2025 10:29 PM |
| Views | 8 |
| Notes | GHelper TURBO STANDARD auto on plug - iGPU |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU |
| Motherboard | ASUSTeK COMPUTER INC. FA401WU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (HP)
|
100% |
5767
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
2399
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4328
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5742
93.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3570
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
43492
50.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
108743
126.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32117
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
4760
377.6 IPS |
|
|
Object Detection (Q)
|
87% |
1993
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
6315
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
11084
131.7 IPS |
|
|
Face Detection (Q)
|
97% |
5433
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16839
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25865
199.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13041
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
76374
98.2 IPS |
|
|
Style Transfer (HP)
|
100% |
133737
171.9 IPS |
|
|
Style Transfer (Q)
|
98% |
52131
67.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12380
457.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28179
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7658
283.5 IPS |
|
|
Text Classification (SP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1972
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4529
78.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1746
32.7 IPS |