| User | universo-hackintosh |
| Upload Date | November 01 2024 01:04 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4340
807.1 IPS |
|
|
Image Classification (HP)
|
100% |
4980
926.2 IPS |
|
|
Image Classification (Q)
|
100% |
7261
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3943
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8395
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
32161
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
67635
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
3875
307.3 IPS |
|
|
Object Detection (HP)
|
100% |
4059
321.9 IPS |
|
|
Object Detection (Q)
|
89% |
6288
503.6 IPS |
|
|
Face Detection (SP)
|
100% |
12588
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
9304
110.6 IPS |
|
|
Face Detection (Q)
|
100% |
17075
202.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10750
82.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15006
115.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
28501
221.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
47556
61.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84143
108.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11715
432.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19272
713.7 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1029
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1710
29.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1889
32.5 IPS |