| User | budbrain |
| Upload Date | March 27 2025 04:37 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 EAGLE WIFI7 |
| Power Plan | Ausbalanciert |
| 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% |
4362
811.2 IPS |
|
|
Image Classification (HP)
|
100% |
3129
581.8 IPS |
|
|
Image Classification (Q)
|
100% |
10071
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5811
94.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2635
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10677
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8427
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5528
6.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
32580
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4235
335.9 IPS |
|
|
Object Detection (HP)
|
100% |
3010
238.8 IPS |
|
|
Object Detection (Q)
|
88% |
11906
954.4 IPS |
|
|
Face Detection (SP)
|
100% |
12613
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
9886
117.5 IPS |
|
|
Face Detection (Q)
|
100% |
30112
357.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10871
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7846
60.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
32778
254.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25644
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16262
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
93175
120.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3595
132.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17493
647.8 IPS |
|
|
Text Classification (SP)
|
100% |
3869
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5865
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5219
89.9 IPS |