RebotAi A9
Geekbench AI Score
469
Single Precision Score
473
Half Precision Score
938
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 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
645
119.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1605
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
627
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.70 IPS |
|
|
Face Detection (Q)
|
95% |
1469
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
488
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
542
4.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
1476
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1790
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1793
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3691
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
394
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
883
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.8 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.2 IPS |
|
|
Text Classification (Q)
|
88% |
486
655.5 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.05 IPS |
|
|
Machine Translation (Q)
|
50% |
334
11.9 IPS |
