motorola ThinkPhone by motorola
Geekbench AI Score
1298
Single Precision Score
2273
Half Precision Score
2118
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 06:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola ThinkPhone by motorola |
| Model ID | motorola ThinkPhone by motorola |
| Motherboard | bronco |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
999
185.8 IPS |
|
|
Image Classification (HP)
|
100% |
1521
282.8 IPS |
|
|
Image Classification (Q)
|
99% |
1351
251.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2404
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6564
7.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
12243
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
12013
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
99% |
1258
99.8 IPS |
|
|
Object Detection (Q)
|
85% |
1173
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
4890
58.1 IPS |
|
|
Face Detection (Q)
|
97% |
4215
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3278
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5848
45.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
4874
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7488
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
14388
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14224
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3097
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2946
109.2 IPS |
|
|
Text Classification (SP)
|
35% |
48
464.1 IPS |
|
|
Text Classification (HP)
|
35% |
68
619.6 IPS |
|
|
Text Classification (Q)
|
35% |
67
608.3 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (HP)
|
97% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
64% |
690
14.2 IPS |
