| User | Kos72 |
| Upload Date | November 01 2024 02:50 PM |
| Views | 6 |
| 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 | Driver Booster Power Plan |
| 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% |
3396
631.6 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
5065
944.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4459
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13077
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5321
6.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
42580
49.9 IPS |
|
|
Object Detection (SP)
|
100% |
3958
313.9 IPS |
|
|
Object Detection (HP)
|
100% |
784
62.2 IPS |
|
|
Object Detection (Q)
|
88% |
3090
247.7 IPS |
|
|
Face Detection (SP)
|
100% |
6392
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
7366
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13616
104.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2615
20.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14439
115.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30523
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13477
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40074
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2786
102.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6877
254.6 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
734
982.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3338
74.5 IPS |