RebotAi A11
Geekbench AI Score
435
Single Precision Score
447
Half Precision Score
920
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 07:01 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
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
100% |
642
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
691
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
987
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1598
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
83% |
621
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
635
7.54 IPS |
|
|
Face Detection (HP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (Q)
|
95% |
1445
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
578
4.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1465
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1739
2.26 IPS |
|
|
Style Transfer (HP)
|
89% |
1738
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3629
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
881
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
267
357.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.7 IPS |
|
|
Text Classification (Q)
|
88% |
484
652.1 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
