| Upload Date | November 10 2025 01:20 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7117
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
12887
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
6783
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14069
228.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21729
352.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12650
205.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
73268
85.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
217489
253.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
67116
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
9092
721.2 IPS |
|
|
Object Detection (HP)
|
100% |
16898
1.34 KIPS |
|
|
Object Detection (Q)
|
86% |
7488
601.6 IPS |
|
|
Face Detection (SP)
|
100% |
21877
259.9 IPS |
|
|
Face Detection (HP)
|
100% |
39691
471.6 IPS |
|
|
Face Detection (Q)
|
97% |
17928
213.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34670
267.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69346
534.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13242
105.8 IPS |
|
|
Style Transfer (SP)
|
100% |
85640
110.1 IPS |
|
|
Style Transfer (HP)
|
100% |
326220
419.4 IPS |
|
|
Style Transfer (Q)
|
98% |
73675
95.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19030
702.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28960
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15071
558.1 IPS |
|
|
Text Classification (SP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1017
19.1 IPS |