RebotAi A11
Geekbench AI Score
439
Single Precision Score
456
Half Precision Score
924
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 06:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
215
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
215
39.9 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
1600
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
83% |
634
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.49 IPS |
|
|
Face Detection (HP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (Q)
|
95% |
1451
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
423
3.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
637
4.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1473
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1731
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1738
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3622
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
887
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
270
359.9 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (Q)
|
88% |
483
650.8 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (Q)
|
50% |
301
10.7 IPS |
