| User | Gadelaza |
| Upload Date | June 23 2025 04:59 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G733QSA_G733QSA |
| Motherboard | ASUSTeK COMPUTER INC. G733QSA |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6616
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
9484
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
4387
815.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8478
137.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13335
216.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8017
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
87048
101.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
257501
300.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76352
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
8380
664.7 IPS |
|
|
Object Detection (HP)
|
100% |
12076
957.9 IPS |
|
|
Object Detection (Q)
|
85% |
5849
470.8 IPS |
|
|
Face Detection (SP)
|
100% |
15059
178.9 IPS |
|
|
Face Detection (HP)
|
100% |
26002
309.0 IPS |
|
|
Face Detection (Q)
|
97% |
13927
166.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42709
329.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
73443
565.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
25388
203.3 IPS |
|
|
Style Transfer (SP)
|
100% |
162721
209.2 IPS |
|
|
Style Transfer (HP)
|
100% |
367072
471.9 IPS |
|
|
Style Transfer (Q)
|
98% |
123197
158.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27954
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36187
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16763
620.7 IPS |
|
|
Text Classification (SP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2692
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1251
23.5 IPS |