HARDKERNEL ODROID-H4
Geekbench AI Score
628
Single Precision Score
599
Half Precision Score
374
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | FH3095 |
| Upload Date | August 06 2025 05:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N97 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | HARDKERNEL ODROID-H4 |
| Motherboard | HARDKERNEL ODROID-H4 |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
290
4.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
562
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
85% |
275
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
97% |
494
5.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
720
5.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
691
5.33 IPS |
|
|
Depth Estimation (Q)
|
63% |
504
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1321
1.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1394
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1328
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
345
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
565
754.2 IPS |
|
|
Text Classification (HP)
|
100% |
423
564.5 IPS |
|
|
Text Classification (Q)
|
92% |
186
249.3 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
58% |
207
4.86 IPS |
