User | KD8UXA |
Upload Date | January 14 2025 11:33 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Celeron N2840 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | GOOGLE Candy |
Motherboard | GOOGLE Candy |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Celeron N2840 |
Topology | 1 Processor, 2 Cores |
Identifier | GenuineIntel Family 6 Model 55 Stepping 8 |
Base Frequency | 2.17 GHz |
Cluster 1 | 2 Cores |
Memory Information | |
---|---|
Size | 4.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
50
9.31 IPS |
|
Image Classification (HP)
|
100% |
24
4.44 IPS |
|
Image Classification (Q)
|
96% |
71
13.3 IPS |
|
Image Segmentation (SP)
|
100% |
47
0.76 IPS |
|
Image Segmentation (HP)
|
100% |
35
0.57 IPS |
|
Image Segmentation (Q)
|
97% |
61
0.99 IPS |
|
Pose Estimation (SP)
|
100% |
102
0.12 IPS |
|
Pose Estimation (HP)
|
100% |
62
0.07 IPS |
|
Pose Estimation (Q)
|
86% |
147
0.17 IPS |
|
Object Detection (SP)
|
100% |
50
3.95 IPS |
|
Object Detection (HP)
|
100% |
26
2.06 IPS |
|
Object Detection (Q)
|
58% |
52
5.73 IPS |
|
Face Detection (SP)
|
100% |
152
1.81 IPS |
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
Face Detection (Q)
|
96% |
178
2.13 IPS |
|
Depth Estimation (SP)
|
100% |
135
1.04 IPS |
|
Depth Estimation (HP)
|
99% |
70
0.54 IPS |
|
Depth Estimation (Q)
|
78% |
167
1.33 IPS |
|
Style Transfer (SP)
|
100% |
259
0.33 IPS |
|
Style Transfer (HP)
|
100% |
185
0.24 IPS |
|
Style Transfer (Q)
|
87% |
329
0.43 IPS |
|
Image Super-Resolution (SP)
|
100% |
60
2.20 IPS |
|
Image Super-Resolution (HP)
|
100% |
38
1.39 IPS |
|
Image Super-Resolution (Q)
|
97% |
76
2.80 IPS |
|
Text Classification (SP)
|
100% |
45
60.6 IPS |
|
Text Classification (HP)
|
100% |
32
42.9 IPS |
|
Text Classification (Q)
|
97% |
48
65.0 IPS |
|
Machine Translation (SP)
|
100% |
101
1.75 IPS |
|
Machine Translation (HP)
|
100% |
39
0.67 IPS |
|
Machine Translation (Q)
|
68% |
115
2.22 IPS |