| User | Alex_TOPMAN |
| Upload Date | September 15 2024 03:48 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| 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% |
3112
578.8 IPS |
|
|
Image Classification (HP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (Q)
|
99% |
5065
944.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4314
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13591
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5737
6.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
43061
50.5 IPS |
|
|
Object Detection (SP)
|
100% |
3703
293.7 IPS |
|
|
Object Detection (HP)
|
100% |
805
63.9 IPS |
|
|
Object Detection (Q)
|
88% |
2882
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
6639
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
7374
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13471
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2672
20.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14766
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31142
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14411
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39597
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6498
240.6 IPS |
|
|
Text Classification (SP)
|
100% |
2064
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3422
76.3 IPS |