| User | Ray5 |
| Upload Date | August 16 2024 01:00 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8255
1.54 KIPS |
|
|
Image Classification (HP)
|
99% |
11139
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5221
971.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
12619
204.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16461
266.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9766
158.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
170179
198.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
337285
393.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
126397
148.0 IPS |
|
|
Object Detection (SP)
|
100% |
10940
867.8 IPS |
|
|
Object Detection (HP)
|
100% |
13715
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
7018
561.9 IPS |
|
|
Face Detection (SP)
|
100% |
25194
299.4 IPS |
|
|
Face Detection (HP)
|
100% |
33371
396.5 IPS |
|
|
Face Detection (Q)
|
97% |
16990
202.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54837
422.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93555
720.8 IPS |
|
|
Depth Estimation (Q)
|
69% |
30814
261.0 IPS |
|
|
Style Transfer (SP)
|
100% |
260518
334.9 IPS |
|
|
Style Transfer (HP)
|
100% |
587914
755.8 IPS |
|
|
Style Transfer (Q)
|
98% |
184084
237.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36142
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47019
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20339
753.1 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3587
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1315
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1028
22.9 IPS |