| Upload Date | October 06 2024 10:38 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| 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% |
14398
2.68 KIPS |
|
|
Image Classification (HP)
|
99% |
18820
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
12153
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23070
374.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27545
446.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21317
346.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
358091
417.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
567266
661.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
308480
361.2 IPS |
|
|
Object Detection (SP)
|
100% |
18970
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
24140
1.91 KIPS |
|
|
Object Detection (Q)
|
89% |
15301
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
49461
587.7 IPS |
|
|
Face Detection (HP)
|
100% |
58995
701.0 IPS |
|
|
Face Detection (Q)
|
97% |
41888
499.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
98173
756.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
162153
1.25 KIPS |
|
|
Depth Estimation (Q)
|
76% |
72008
579.2 IPS |
|
|
Style Transfer (SP)
|
100% |
618027
794.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1131687
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
526351
678.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67037
2.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87301
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48740
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (HP)
|
99% |
5263
7.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2489
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5511
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5426
93.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2345
52.3 IPS |