| User | Windsurf48 |
| Upload Date | December 04 2024 03:13 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3248
604.1 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
99% |
5528
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5242
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14991
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8724
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
49448
58.0 IPS |
|
|
Object Detection (SP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (HP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (Q)
|
88% |
3175
254.5 IPS |
|
|
Face Detection (SP)
|
100% |
6922
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
6689
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14500
111.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3512
27.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13795
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34149
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22147
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36551
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6983
258.6 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1912
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3912
87.3 IPS |