| Upload Date | August 21 2025 08:07 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B760 Pro RS WiFi White |
| Motherboard | ASRock B760 Pro RS WiFi White |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2732
508.1 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.2 IPS |
|
|
Image Classification (Q)
|
99% |
5384
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3064
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5567
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
19515
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
5655
454.5 IPS |
|
|
Face Detection (SP)
|
100% |
7036
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
8489
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1939
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13492
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12996
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9633
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21247
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3888
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.9 IPS |
|
|
Text Classification (Q)
|
97% |
1502
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3140
63.1 IPS |