| User | Benster412 |
| Upload Date | October 09 2024 03:00 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| Power Plan | High performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2445
454.8 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (Q)
|
99% |
4356
812.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3452
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8798
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4828
5.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
30999
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2796
221.8 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
88% |
2519
201.9 IPS |
|
|
Face Detection (SP)
|
100% |
5001
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
5147
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9774
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2425
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
10224
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21507
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12456
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28208
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2290
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5210
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
663
888.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2302
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2593
57.8 IPS |