HARDKERNEL ODROID-H4
Geekbench AI Score
822
Single Precision Score
367
Half Precision Score
1011
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | OrderlyMisconduct |
| Upload Date | March 15 2025 03:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-N305 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HARDKERNEL ODROID-H4 |
| Motherboard | HARDKERNEL ODROID-H4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-N305 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
598
111.3 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (Q)
|
99% |
945
176.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
572
9.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
900
1.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
2461
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
579
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
86% |
827
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
1460
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (Q)
|
97% |
1793
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1606
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
2371
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2991
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2142
2.75 IPS |
|
|
Style Transfer (Q)
|
98% |
4464
5.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
776
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
379
506.1 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.3 IPS |
|
|
Text Classification (Q)
|
97% |
114
152.8 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
65% |
610
12.3 IPS |
