HARDKERNEL ODROID-H4
Geekbench AI Score
6792
Single Precision Score
7551
Half Precision Score
5346
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OrderlyMisconduct |
| Upload Date | August 05 2025 04:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| 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% |
3163
588.2 IPS |
|
|
Image Classification (HP)
|
100% |
2277
423.4 IPS |
|
|
Image Classification (Q)
|
100% |
1958
364.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2255
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
78057
91.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
118412
138.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
60703
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.8 IPS |
|
|
Object Detection (HP)
|
99% |
2658
210.9 IPS |
|
|
Object Detection (Q)
|
87% |
2216
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
5684
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
6062
72.0 IPS |
|
|
Face Detection (Q)
|
97% |
5427
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25164
193.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28846
222.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
20517
164.5 IPS |
|
|
Style Transfer (SP)
|
100% |
106700
137.2 IPS |
|
|
Style Transfer (HP)
|
100% |
150809
193.9 IPS |
|
|
Style Transfer (Q)
|
98% |
94623
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15006
554.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15102
557.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10343
383.0 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1345
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
572
766.8 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
70% |
516
9.69 IPS |
