| User | gethen |
| Upload Date | June 28 2025 04:26 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro-A WiFi |
| Motherboard | ASRock B760M Pro-A WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2491
463.3 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
4998
932.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2687
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4632
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
16522
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
86% |
5253
422.1 IPS |
|
|
Face Detection (SP)
|
100% |
5926
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
7696
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6863
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1925
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12623
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12601
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9162
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19911
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3933
145.7 IPS |
|
|
Text Classification (SP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
704
939.1 IPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2803
56.3 IPS |