Upload Date | December 28 2024 03:02 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel(R) Core(TM) Ultra 7 265K |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Professionnel (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
Power Plan | Performances leves |
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% |
4605
856.3 IPS |
|
Image Classification (HP)
|
100% |
756
140.6 IPS |
|
Image Classification (Q)
|
99% |
8299
1.55 KIPS |
|
Image Segmentation (SP)
|
100% |
2644
42.9 IPS |
|
Image Segmentation (HP)
|
100% |
1409
22.8 IPS |
|
Image Segmentation (Q)
|
98% |
4672
76.0 IPS |
|
Pose Estimation (SP)
|
100% |
13377
15.6 IPS |
|
Pose Estimation (HP)
|
100% |
7295
8.51 IPS |
|
Pose Estimation (Q)
|
94% |
42491
49.8 IPS |
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
Object Detection (Q)
|
86% |
10193
819.2 IPS |
|
Face Detection (SP)
|
100% |
12134
144.2 IPS |
|
Face Detection (HP)
|
100% |
2035
24.2 IPS |
|
Face Detection (Q)
|
97% |
12453
148.5 IPS |
|
Depth Estimation (SP)
|
100% |
13676
105.4 IPS |
|
Depth Estimation (HP)
|
99% |
3378
26.0 IPS |
|
Depth Estimation (Q)
|
78% |
22068
176.1 IPS |
|
Style Transfer (SP)
|
100% |
27966
36.0 IPS |
|
Style Transfer (HP)
|
100% |
14584
18.7 IPS |
|
Style Transfer (Q)
|
98% |
33066
42.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
4833
178.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
3292
121.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
6378
236.2 IPS |
|
Text Classification (SP)
|
100% |
1812
2.42 KIPS |
|
Text Classification (HP)
|
100% |
814
1.09 KIPS |
|
Text Classification (Q)
|
97% |
1661
2.22 KIPS |
|
Machine Translation (SP)
|
100% |
2586
44.6 IPS |
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
Machine Translation (Q)
|
65% |
3312
66.6 IPS |