| User | Betancd |
| Upload Date | May 10 2025 03:29 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI |
| Motherboard | ASUSTeK COMPUTER INC. GA403UI |
| Power Plan | Performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8235
1.53 KIPS |
|
|
Image Classification (HP)
|
99% |
13517
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
7434
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14734
238.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19791
320.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12972
210.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
91061
106.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
275720
321.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
90410
105.9 IPS |
|
|
Object Detection (SP)
|
100% |
9310
738.5 IPS |
|
|
Object Detection (HP)
|
100% |
16637
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
7919
637.5 IPS |
|
|
Face Detection (SP)
|
100% |
23428
278.4 IPS |
|
|
Face Detection (HP)
|
100% |
37093
440.7 IPS |
|
|
Face Detection (Q)
|
97% |
20874
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
47073
362.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85869
661.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
36469
291.5 IPS |
|
|
Style Transfer (SP)
|
100% |
155307
199.6 IPS |
|
|
Style Transfer (HP)
|
100% |
399064
513.0 IPS |
|
|
Style Transfer (Q)
|
98% |
145181
187.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33129
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52913
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24012
889.1 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3825
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1935
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4135
71.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1872
35.1 IPS |