motorola ThinkPhone by motorola
Geekbench AI Score
1179
Single Precision Score
1182
Half Precision Score
2648
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | February 22 2025 07:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
505
93.9 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
100% |
1995
370.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2170
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2543
2.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
5713
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
83% |
1625
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (Q)
|
95% |
4203
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2348
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2345
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4451
40.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4137
5.37 IPS |
|
|
Style Transfer (HP)
|
89% |
4044
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
12157
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3011
111.6 IPS |
|
|
Text Classification (SP)
|
100% |
610
813.7 IPS |
|
|
Text Classification (HP)
|
100% |
600
801.0 IPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
562
19.9 IPS |
