| Upload Date | June 20 2025 12:07 PM |
| Views | 6 |
| 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% |
280
52.1 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
100% |
604
112.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
692
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
1297
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (Q)
|
87% |
602
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
854
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
1674
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
705
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
704
5.42 IPS |
|
|
Depth Estimation (Q)
|
81% |
1502
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3846
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
776
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
340
454.1 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.8 IPS |
|
|
Text Classification (Q)
|
91% |
297
399.6 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
100% |
445
7.66 IPS |