| User | Poltava |
| Upload Date | October 31 2024 11:27 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
2680
499.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1797
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
13325
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.6 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
88% |
1527
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (Q)
|
97% |
3240
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3723
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
814
6.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
6393
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8077
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6443
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
14071
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3300
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
634
846.6 IPS |
|
|
Text Classification (Q)
|
97% |
482
644.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1844
41.1 IPS |