Bell_Mobility Ahlo 1
Geekbench AI Score
578
Single Precision Score
577
Half Precision Score
1078
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 07:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Bell_Mobility Ahlo 1 |
| Model ID | Bell_Mobility Ahlo 1 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
100% |
741
137.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
838
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1277
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1272
1.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
1758
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.6 IPS |
|
|
Object Detection (Q)
|
83% |
727
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
828
9.84 IPS |
|
|
Face Detection (HP)
|
100% |
828
9.83 IPS |
|
|
Face Detection (Q)
|
95% |
1738
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1104
8.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
1103
8.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1654
15.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2108
2.74 IPS |
|
|
Style Transfer (HP)
|
89% |
2105
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4208
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
296
394.9 IPS |
|
|
Text Classification (HP)
|
100% |
297
395.9 IPS |
|
|
Text Classification (Q)
|
88% |
566
763.8 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
