RebotAi A11
Geekbench AI Score
231
Single Precision Score
438
Half Precision Score
360
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 A11 |
| Model ID | RebotAi A11 |
| Motherboard | A11 |
| 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 | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
97% |
248
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
470
7.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
949
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1793
2.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
1770
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.85 IPS |
|
|
Object Detection (HP)
|
99% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
83% |
256
20.7 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (HP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (Q)
|
96% |
1030
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
1450
11.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1044
9.91 IPS |
|
|
Style Transfer (SP)
|
100% |
1734
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3750
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3671
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
671
24.9 IPS |
|
|
Text Classification (SP)
|
29% |
3
52.1 IPS |
|
|
Text Classification (HP)
|
29% |
5
80.7 IPS |
|
|
Text Classification (Q)
|
32% |
6
79.9 IPS |
|
|
Machine Translation (SP)
|
100% |
159
2.73 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (Q)
|
43% |
44
2.59 IPS |
