RebotAi A9
Geekbench AI Score
285
Single Precision Score
452
Half Precision Score
389
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 07:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | RebotAi A9 |
| Model ID | RebotAi A9 |
| Motherboard | A9 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
97% |
207
38.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
1032
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1831
2.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
2022
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
99% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
83% |
309
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
594
7.05 IPS |
|
|
Face Detection (HP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
1076
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
783
6.03 IPS |
|
|
Depth Estimation (HP)
|
98% |
1491
11.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1201
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1949
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
4028
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3941
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
736
27.3 IPS |
|
|
Text Classification (SP)
|
35% |
6
58.5 IPS |
|
|
Text Classification (HP)
|
29% |
5
82.3 IPS |
|
|
Text Classification (Q)
|
32% |
6
79.3 IPS |
|
|
Machine Translation (SP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (Q)
|
43% |
53
3.09 IPS |
