| Upload Date | November 01 2025 09:50 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-5960X CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Default string |
| Motherboard | Gigabyte Technology Co., Ltd. X99-SOC Champion-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5960X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.75 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3064
569.9 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
100% |
3369
626.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3818
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3862
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4098
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
7885
9.25 IPS |
|
|
Object Detection (SP)
|
100% |
3015
239.2 IPS |
|
|
Object Detection (HP)
|
100% |
2987
237.0 IPS |
|
|
Object Detection (Q)
|
87% |
3349
268.6 IPS |
|
|
Face Detection (SP)
|
100% |
5584
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
5604
66.6 IPS |
|
|
Face Detection (Q)
|
97% |
9921
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8121
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8300
63.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9108
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18323
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19504
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22844
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4668
172.9 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (Q)
|
91% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3974
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3972
68.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3932
67.7 IPS |