| User | pakhtunov |
| Upload Date | March 26 2025 08:38 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5042
937.7 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.1 IPS |
|
|
Image Classification (Q)
|
99% |
8321
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4916
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12829
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5233
6.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
40568
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
4817
382.1 IPS |
|
|
Object Detection (HP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (Q)
|
86% |
9312
748.4 IPS |
|
|
Face Detection (SP)
|
100% |
15170
180.3 IPS |
|
|
Face Detection (HP)
|
100% |
2052
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
13605
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15212
117.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2620
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
24073
192.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29162
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13047
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40527
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4566
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6578
243.6 IPS |
|
|
Text Classification (SP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2598
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4652
93.5 IPS |