| User | phm |
| Upload Date | July 07 2025 02:14 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Pro RS |
| Motherboard | ASRock Z890 Pro RS |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4185
778.3 IPS |
|
|
Image Classification (HP)
|
100% |
6444
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
8716
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4331
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9654
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11196
181.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12201
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11426
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38268
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
3888
308.4 IPS |
|
|
Object Detection (HP)
|
100% |
6184
490.5 IPS |
|
|
Object Detection (Q)
|
88% |
10200
817.4 IPS |
|
|
Face Detection (SP)
|
100% |
8956
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
17851
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
27446
326.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13078
100.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
23467
181.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26595
206.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30157
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42500
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
89606
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9725
359.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15385
569.8 IPS |
|
|
Text Classification (SP)
|
71% |
1717
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
2571
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2827
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3994
69.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3992
69.0 IPS |