| User | Jim905 |
| Upload Date | August 12 2025 08:24 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8925
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
12567
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
7097
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15211
246.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18145
294.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10425
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
74378
86.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
303901
354.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59666
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
12047
955.6 IPS |
|
|
Object Detection (HP)
|
100% |
15019
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
9184
737.2 IPS |
|
|
Face Detection (SP)
|
100% |
28174
334.8 IPS |
|
|
Face Detection (HP)
|
100% |
30675
364.5 IPS |
|
|
Face Detection (Q)
|
97% |
18736
223.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
61598
474.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
93204
718.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
30423
243.8 IPS |
|
|
Style Transfer (SP)
|
100% |
190735
245.2 IPS |
|
|
Style Transfer (HP)
|
100% |
528241
679.1 IPS |
|
|
Style Transfer (Q)
|
98% |
115554
149.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29779
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48905
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15038
556.8 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1637
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1456
27.3 IPS |