| User | Kif_Kroker1729 |
| Upload Date | June 29 2025 11:53 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ERYING |
| Motherboard | ERYING Intel Ultra Meteor Lake Polestar B860 M-ATX D5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3039
565.2 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (Q)
|
99% |
6433
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3846
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6520
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4238
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
25421
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2975
236.0 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
86% |
7306
587.2 IPS |
|
|
Face Detection (SP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (HP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
9860
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8869
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2350
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17103
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16220
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10566
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24228
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3155
116.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4830
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
678
905.0 IPS |
|
|
Text Classification (Q)
|
97% |
1769
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3755
75.5 IPS |