| User | Windsurf48 |
| Upload Date | December 04 2024 03:16 PM |
| Views | 8 |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4499
836.7 IPS |
|
|
Image Classification (HP)
|
100% |
4518
840.2 IPS |
|
|
Image Classification (Q)
|
100% |
10167
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3937
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7300
118.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8673
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8697
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
33149
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
4277
339.3 IPS |
|
|
Object Detection (HP)
|
100% |
4303
341.3 IPS |
|
|
Object Detection (Q)
|
88% |
10879
872.0 IPS |
|
|
Face Detection (SP)
|
100% |
13190
156.7 IPS |
|
|
Face Detection (HP)
|
100% |
13432
159.6 IPS |
|
|
Face Detection (Q)
|
100% |
28301
336.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11259
86.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11264
86.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
29613
230.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25393
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25350
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
91356
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5441
200.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16939
627.3 IPS |
|
|
Text Classification (SP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2817
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2812
48.4 IPS |