Upload Date | June 22 2025 10:05 AM |
Views | 4 |
Notes | Upgrade 2 Windows 10 Pro 22H2 x64 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i7 CPU 860 @ 2.80GHz |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. P55-UD3R |
Motherboard | Gigabyte Technology Co., Ltd. P55-UD3R |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core i7-860 |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
Base Frequency | 2.80 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
284
52.9 IPS |
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
Image Classification (Q)
|
100% |
614
114.3 IPS |
|
Image Segmentation (SP)
|
100% |
367
5.95 IPS |
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
Image Segmentation (Q)
|
99% |
707
11.5 IPS |
|
Pose Estimation (SP)
|
100% |
510
0.60 IPS |
|
Pose Estimation (HP)
|
100% |
510
0.60 IPS |
|
Pose Estimation (Q)
|
94% |
1308
1.53 IPS |
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
Object Detection (Q)
|
87% |
610
48.9 IPS |
|
Face Detection (SP)
|
100% |
867
10.3 IPS |
|
Face Detection (HP)
|
100% |
874
10.4 IPS |
|
Face Detection (Q)
|
97% |
1693
20.2 IPS |
|
Depth Estimation (SP)
|
100% |
715
5.51 IPS |
|
Depth Estimation (HP)
|
99% |
716
5.52 IPS |
|
Depth Estimation (Q)
|
81% |
1525
12.0 IPS |
|
Style Transfer (SP)
|
100% |
1192
1.53 IPS |
|
Style Transfer (HP)
|
100% |
1199
1.54 IPS |
|
Style Transfer (Q)
|
98% |
3883
5.01 IPS |
|
Image Super-Resolution (SP)
|
100% |
321
11.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
321
11.8 IPS |
|
Image Super-Resolution (Q)
|
98% |
786
29.1 IPS |
|
Text Classification (SP)
|
100% |
345
460.7 IPS |
|
Text Classification (HP)
|
100% |
347
463.3 IPS |
|
Text Classification (Q)
|
91% |
299
401.3 IPS |
|
Machine Translation (SP)
|
100% |
454
7.81 IPS |
|
Machine Translation (HP)
|
100% |
454
7.81 IPS |
|
Machine Translation (Q)
|
100% |
452
7.78 IPS |