RebotAi A11
Geekbench AI Score
451
Single Precision Score
463
Half Precision Score
912
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 03:31 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
100% |
639
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
688
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1591
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
83% |
619
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (Q)
|
95% |
1430
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
561
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
771
5.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1460
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1720
2.23 IPS |
|
|
Style Transfer (HP)
|
89% |
1722
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3613
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
881
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.0 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.9 IPS |
|
|
Text Classification (Q)
|
88% |
472
636.2 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (Q)
|
50% |
295
10.5 IPS |
