User | ViNsTeR777 |
Upload Date | March 04 2025 11:05 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i5-4590 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Enterprise (64-bit) |
Model | ASUS All Series |
Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VII HERO |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i5-4590 |
Topology | 1 Processor, 4 Cores |
Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
Base Frequency | 3.30 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 8.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1428
265.6 IPS |
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
Image Classification (Q)
|
96% |
1483
277.0 IPS |
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
Image Segmentation (HP)
|
100% |
526
8.52 IPS |
|
Image Segmentation (Q)
|
97% |
1036
16.9 IPS |
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
Pose Estimation (HP)
|
100% |
2546
2.97 IPS |
|
Pose Estimation (Q)
|
86% |
3330
3.94 IPS |
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
Object Detection (Q)
|
58% |
1022
111.7 IPS |
|
Face Detection (SP)
|
100% |
2477
29.4 IPS |
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
Face Detection (Q)
|
96% |
3266
39.0 IPS |
|
Depth Estimation (SP)
|
100% |
3767
29.0 IPS |
|
Depth Estimation (HP)
|
99% |
1359
10.5 IPS |
|
Depth Estimation (Q)
|
78% |
3656
29.2 IPS |
|
Style Transfer (SP)
|
100% |
7039
9.05 IPS |
|
Style Transfer (HP)
|
100% |
5669
7.29 IPS |
|
Style Transfer (Q)
|
87% |
6801
8.85 IPS |
|
Image Super-Resolution (SP)
|
100% |
1340
49.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
1222
45.1 IPS |
|
Image Super-Resolution (Q)
|
97% |
1328
49.2 IPS |
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
Text Classification (HP)
|
100% |
537
716.6 IPS |
|
Text Classification (Q)
|
97% |
394
527.5 IPS |
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
Machine Translation (Q)
|
68% |
1311
25.3 IPS |