| User | ahalqurashi |
| Upload Date | April 04 2025 12:27 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B660M Pro RS |
| Motherboard | ASRock B660M Pro RS |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2424
450.7 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
99% |
4349
811.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2355
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4964
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
16921
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
4426
355.7 IPS |
|
|
Face Detection (SP)
|
100% |
4125
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
1359
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
7315
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6795
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1856
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12480
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11876
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8871
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15563
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2209
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3456
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
699
933.5 IPS |
|
|
Text Classification (Q)
|
97% |
506
678.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2376
47.7 IPS |