| User | leibovitz |
| Upload Date | September 07 2025 02:19 PM |
| Views | 10 |
| 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 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Power Plan | Balanced |
| 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% |
4092
761.0 IPS |
|
|
Image Classification (HP)
|
100% |
3042
565.7 IPS |
|
|
Image Classification (Q)
|
100% |
10330
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5717
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13300
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8124
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5402
6.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
31270
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3974
315.2 IPS |
|
|
Object Detection (HP)
|
100% |
2924
231.9 IPS |
|
|
Object Detection (Q)
|
88% |
11560
926.7 IPS |
|
|
Face Detection (SP)
|
100% |
12578
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
9598
114.0 IPS |
|
|
Face Detection (Q)
|
100% |
31106
369.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10292
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7489
57.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
31762
247.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24704
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15920
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
91511
118.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3534
130.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17122
634.1 IPS |
|
|
Text Classification (SP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5754
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4987
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5210
89.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5027
86.6 IPS |