motorola motorola signature
Geekbench AI Score
589
Single Precision Score
25295
Half Precision Score
63689
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 03:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
19576
3.64 KIPS |
|
|
Image Classification (Q)
|
96% |
46890
8.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
13026
211.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
47304
769.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
97017
113.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
376712
440.9 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
17772
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
27648
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
36599
434.9 IPS |
|
|
Face Detection (Q)
|
97% |
135781
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
735
5.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
72505
558.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
168327
1.57 KIPS |
|
|
Style Transfer (SP)
|
100% |
1297
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
81926
105.3 IPS |
|
|
Style Transfer (Q)
|
98% |
436708
563.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48109
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128154
4.75 KIPS |
|
|
Text Classification (SP)
|
100% |
470
627.1 IPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
10710
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5903
101.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3470
89.4 IPS |
