motorola motorola signature
Geekbench AI Score
401
Single Precision Score
408
Half Precision Score
923
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 13 2026 03:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | motorola motorola signature |
| Model ID | motorola motorola signature |
| Motherboard | vantage |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 4 part 2 revision 0 |
| Base Frequency | 3.32 GHz |
| Cluster 1 | 6 Cores @ 3.32 GHz |
| Cluster 2 | 2 Cores @ 3.80 GHz |
| Memory Information | |
|---|---|
| Size | 14.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (Q)
|
99% |
553
103.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
1561
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
87% |
738
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
587
6.98 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.98 IPS |
|
|
Face Detection (Q)
|
97% |
1520
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1353
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1047
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1042
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2756
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.2 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.6 IPS |
|
|
Text Classification (Q)
|
91% |
502
674.6 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
57% |
465
11.4 IPS |
