| User | BossRreynolds |
| Upload Date | November 04 2024 12:48 AM |
| Views | 6 |
| 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% |
2236
415.8 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
99% |
4184
780.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3317
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9266
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4345
5.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
28649
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
719
57.1 IPS |
|
|
Object Detection (Q)
|
88% |
2380
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
5409
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
6021
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2207
17.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11185
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21321
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11030
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32302
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5328
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
718
958.9 IPS |
|
|
Text Classification (Q)
|
97% |
610
817.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2624
58.5 IPS |