| User | BossRreynolds |
| Upload Date | November 04 2024 12:57 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.0 IPS |
|
|
Image Classification (Q)
|
99% |
4152
774.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3492
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9297
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4296
5.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
28900
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
88% |
2438
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
5148
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
1697
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
5944
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9070
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1983
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
11027
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21314
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11164
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31325
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3389
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2035
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5333
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
643
860.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2675
59.7 IPS |