| User | Kos72 |
| Upload Date | October 20 2024 06:54 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2908
540.7 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (Q)
|
99% |
5014
935.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4428
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13376
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5202
6.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
43711
51.2 IPS |
|
|
Object Detection (SP)
|
100% |
3449
273.6 IPS |
|
|
Object Detection (HP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (Q)
|
88% |
3073
246.3 IPS |
|
|
Face Detection (SP)
|
100% |
7382
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
7243
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13753
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2519
19.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
14530
116.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30795
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13542
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
41972
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
737
987.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3158
70.4 IPS |