| User | pakhtunov |
| Upload Date | March 26 2025 08:43 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% |
5365
997.8 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (Q)
|
99% |
8428
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4660
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12910
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5350
6.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
40308
47.3 IPS |
|
|
Object Detection (SP)
|
100% |
5038
399.6 IPS |
|
|
Object Detection (HP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (Q)
|
86% |
8942
718.6 IPS |
|
|
Face Detection (SP)
|
100% |
14705
174.7 IPS |
|
|
Face Detection (HP)
|
100% |
2142
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
14124
168.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15370
118.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23249
185.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29451
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13403
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41558
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6757
250.2 IPS |
|
|
Text Classification (SP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1995
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4874
97.9 IPS |