| User | gethen |
| Upload Date | June 23 2025 07:18 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860I WiFi |
| Motherboard | ASRock B860I WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3716
691.1 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.1 IPS |
|
|
Image Classification (Q)
|
99% |
8458
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3810
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9161
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6106
7.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
30626
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2764
219.2 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
86% |
7822
628.6 IPS |
|
|
Face Detection (SP)
|
100% |
7989
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
1995
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
11304
134.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7718
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2738
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17766
141.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15976
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12266
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21448
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5280
195.5 IPS |
|
|
Text Classification (SP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
700
933.8 IPS |
|
|
Text Classification (Q)
|
97% |
1731
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3936
79.1 IPS |