| Upload Date | April 19 2025 12:54 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4450
827.5 IPS |
|
|
Image Classification (HP)
|
100% |
4514
839.5 IPS |
|
|
Image Classification (Q)
|
100% |
9578
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5637
91.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5723
92.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10414
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8266
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
29456
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4089
324.4 IPS |
|
|
Object Detection (HP)
|
100% |
4167
330.5 IPS |
|
|
Object Detection (Q)
|
88% |
10069
807.2 IPS |
|
|
Face Detection (SP)
|
100% |
11088
131.7 IPS |
|
|
Face Detection (HP)
|
100% |
11208
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
23516
279.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10917
84.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27194
211.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24388
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23649
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84984
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16099
596.2 IPS |
|
|
Text Classification (SP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5359
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5516
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5576
96.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5534
95.3 IPS |