| User | Surinder |
| Upload Date | February 06 2025 04:11 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770K CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77X-UD5H |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.1 IPS |
|
|
Image Classification (Q)
|
100% |
556
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
699
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
1281
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
87% |
619
49.6 IPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
1640
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1059
8.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
1102
8.49 IPS |
|
|
Depth Estimation (Q)
|
81% |
1504
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1549
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1740
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3801
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
525
700.3 IPS |
|
|
Text Classification (HP)
|
100% |
524
699.3 IPS |
|
|
Text Classification (Q)
|
91% |
318
427.0 IPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (Q)
|
100% |
551
9.49 IPS |