motorola ThinkPhone by motorola
Geekbench AI Score
626
Single Precision Score
962
Half Precision Score
951
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | February 22 2025 07:55 PM |
| Views | 5 |
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% |
481
89.5 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
97% |
795
148.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1127
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
1174
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
89% |
639
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
2512
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
2172
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1037
7.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
2014
15.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1708
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2465
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
5158
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
5266
6.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.1 IPS |
|
|
Text Classification (HP)
|
100% |
189
251.9 IPS |
|
|
Text Classification (Q)
|
91% |
334
449.3 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
