| User | nmolnar |
| Upload Date | June 01 2025 04:37 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG STRIX G16CHR_G16CHR |
| Motherboard | ASUSTeK COMPUTER INC. G16CHR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3309
615.4 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
99% |
6619
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3747
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9819
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4730
5.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
29344
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3140
249.1 IPS |
|
|
Object Detection (HP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (Q)
|
86% |
6399
514.3 IPS |
|
|
Face Detection (SP)
|
100% |
9093
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
9592
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10533
81.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2015
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13597
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18819
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11270
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21652
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3290
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4146
153.5 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3279
65.9 IPS |