| Upload Date | April 20 2025 01:04 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% |
4495
835.9 IPS |
|
|
Image Classification (HP)
|
100% |
4512
839.2 IPS |
|
|
Image Classification (Q)
|
100% |
9545
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5734
93.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5783
93.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10588
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8200
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
8535
9.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
29942
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
3973
315.1 IPS |
|
|
Object Detection (HP)
|
100% |
4139
328.3 IPS |
|
|
Object Detection (Q)
|
88% |
10339
828.8 IPS |
|
|
Face Detection (SP)
|
100% |
11419
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
11506
136.7 IPS |
|
|
Face Detection (Q)
|
100% |
23527
279.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10076
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9765
75.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26075
202.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22676
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24485
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
85182
109.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16190
599.6 IPS |
|
|
Text Classification (SP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5324
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5487
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5393
92.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5509
94.9 IPS |