| User | Kif_Kroker1729 |
| Upload Date | June 29 2025 11:47 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5733
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8547
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
10248
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4808
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11808
191.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17835
289.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20449
23.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
19494
22.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
65095
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
5269
418.0 IPS |
|
|
Object Detection (HP)
|
100% |
8774
696.0 IPS |
|
|
Object Detection (Q)
|
88% |
12596
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
9254
110.0 IPS |
|
|
Face Detection (HP)
|
100% |
18524
220.1 IPS |
|
|
Face Detection (Q)
|
100% |
29003
344.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18302
141.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
31528
243.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
36438
283.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49040
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66002
84.8 IPS |
|
|
Style Transfer (Q)
|
98% |
152203
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8433
311.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14646
540.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21308
789.1 IPS |
|
|
Text Classification (SP)
|
71% |
1737
2.51 KIPS |
|
|
Text Classification (HP)
|
71% |
2589
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
2647
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3617
62.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3643
62.7 IPS |