User | teknoseyir |
Upload Date | January 09 2025 04:42 PM |
Views | 2 |
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 | Micro-Star International Co., Ltd. MS-7E39 |
Motherboard | Micro-Star International Co., Ltd. MAG B860 TOMAHAWK WIFI (MS-7E39) |
Power Plan | Dengeli |
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% |
4436
825.0 IPS |
|
Image Classification (HP)
|
100% |
4465
830.4 IPS |
|
Image Classification (Q)
|
100% |
9963
1.85 KIPS |
|
Image Segmentation (SP)
|
100% |
3687
59.8 IPS |
|
Image Segmentation (HP)
|
100% |
3620
58.7 IPS |
|
Image Segmentation (Q)
|
99% |
6973
113.0 IPS |
|
Pose Estimation (SP)
|
100% |
8702
10.2 IPS |
|
Pose Estimation (HP)
|
100% |
8515
9.94 IPS |
|
Pose Estimation (Q)
|
96% |
33274
39.0 IPS |
|
Object Detection (SP)
|
100% |
4162
330.1 IPS |
|
Object Detection (HP)
|
100% |
4253
337.4 IPS |
|
Object Detection (Q)
|
88% |
10734
860.4 IPS |
|
Face Detection (SP)
|
100% |
12887
153.1 IPS |
|
Face Detection (HP)
|
100% |
12688
150.8 IPS |
|
Face Detection (Q)
|
100% |
26988
320.7 IPS |
|
Depth Estimation (SP)
|
100% |
11204
86.3 IPS |
|
Depth Estimation (HP)
|
99% |
11252
86.7 IPS |
|
Depth Estimation (Q)
|
89% |
30220
235.0 IPS |
|
Style Transfer (SP)
|
100% |
25894
33.3 IPS |
|
Style Transfer (HP)
|
100% |
25752
33.1 IPS |
|
Style Transfer (Q)
|
98% |
91818
118.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
5443
201.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
17296
640.5 IPS |
|
Text Classification (SP)
|
100% |
1666
2.22 KIPS |
|
Text Classification (HP)
|
100% |
1633
2.18 KIPS |
|
Text Classification (Q)
|
92% |
4848
6.51 KIPS |
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
Machine Translation (HP)
|
100% |
2785
48.0 IPS |
|
Machine Translation (Q)
|
100% |
2723
46.9 IPS |