Relndoo TAB9
Geekbench AI Score
146
Single Precision Score
279
Half Precision Score
226
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 22 2026 10:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Relndoo TAB9 |
| Model ID | Relndoo TAB9 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 6 Cores @ 1.61 GHz |
| Cluster 2 | 2 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
86
15.9 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
97% |
150
28.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
230
3.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
951
1.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
936
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.12 IPS |
|
|
Object Detection (HP)
|
99% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.48 IPS |
|
|
Face Detection (Q)
|
96% |
578
6.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
347
2.68 IPS |
|
|
Depth Estimation (HP)
|
98% |
683
5.28 IPS |
|
|
Depth Estimation (Q)
|
62% |
540
5.13 IPS |
|
|
Style Transfer (SP)
|
100% |
831
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1729
2.22 IPS |
|
|
Style Transfer (Q)
|
98% |
1707
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
388
14.4 IPS |
|
|
Text Classification (SP)
|
35% |
5
44.4 IPS |
|
|
Text Classification (HP)
|
35% |
8
80.5 IPS |
|
|
Text Classification (Q)
|
33% |
7
82.0 IPS |
|
|
Machine Translation (SP)
|
100% |
151
2.60 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.64 IPS |
|
|
Machine Translation (Q)
|
43% |
52
3.03 IPS |
