Bell_Mobility Ahlo 1
Geekbench AI Score
196
Single Precision Score
197
Half Precision Score
473
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 08:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
115
21.4 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
310
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
346
5.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
808
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.11 IPS |
|
|
Object Detection (Q)
|
87% |
332
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
297
3.52 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (Q)
|
97% |
669
7.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
646
5.86 IPS |
|
|
Style Transfer (SP)
|
100% |
452
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
451
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1278
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.8 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.5 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.41 IPS |
