| User | W4RHE4D |
| Upload Date | March 02 2026 12:21 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2500K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P8Z68-V PRO GEN3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.6 IPS |
|
|
Image Classification (Q)
|
96% |
896
167.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1543
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
1658
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
634
69.3 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.33 IPS |
|
|
Face Detection (Q)
|
96% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2479
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
1863
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4622
5.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3926
5.05 IPS |
|
|
Style Transfer (Q)
|
87% |
3191
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1006
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
452
602.7 IPS |
|
|
Text Classification (Q)
|
97% |
369
494.9 IPS |
|
|
Machine Translation (SP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1017
19.7 IPS |