| User | falken1 |
| Upload Date | August 26 2024 08:47 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2404
447.1 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
97% |
3547
661.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2218
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
2440
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9931
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (Q)
|
87% |
16800
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2859
226.8 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
86% |
2294
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.64 IPS |
|
|
Face Detection (Q)
|
96% |
4710
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9796
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1027
7.91 IPS |
|
|
Depth Estimation (Q)
|
76% |
7998
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22464
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17814
22.9 IPS |
|
|
Style Transfer (Q)
|
87% |
20706
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3789
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
513
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2381
53.1 IPS |