| User | XxOoEthanoOxX |
| Upload Date | September 28 2024 02:37 AM |
| Views | 23 |
| 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 | Turbo |
| 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% |
7483
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
11689
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
6660
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12973
210.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17034
276.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11826
192.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
97930
114.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
297918
347.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
86890
101.7 IPS |
|
|
Object Detection (SP)
|
100% |
8844
701.5 IPS |
|
|
Object Detection (HP)
|
100% |
14244
1.13 KIPS |
|
|
Object Detection (Q)
|
88% |
7285
584.2 IPS |
|
|
Face Detection (SP)
|
100% |
19389
230.4 IPS |
|
|
Face Detection (HP)
|
100% |
30774
365.7 IPS |
|
|
Face Detection (Q)
|
97% |
16147
192.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
41786
321.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82180
633.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
34542
277.5 IPS |
|
|
Style Transfer (SP)
|
100% |
175873
226.1 IPS |
|
|
Style Transfer (HP)
|
100% |
425309
546.7 IPS |
|
|
Style Transfer (Q)
|
98% |
154468
199.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33532
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49422
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24294
899.6 IPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3547
4.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1780
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3959
68.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1483
33.1 IPS |