motorola moto g72
Geekbench AI Score
306
Single Precision Score
528
Half Precision Score
442
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 10:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g72 |
| Model ID | motorola moto g72 |
| Motherboard | vicky |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
97% |
322
60.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2001
2.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
1968
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
99% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
83% |
315
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
96% |
1133
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1196
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1944
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
4048
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3929
5.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
735
27.3 IPS |
|
|
Text Classification (SP)
|
35% |
11
95.7 IPS |
|
|
Text Classification (HP)
|
29% |
9
156.0 IPS |
|
|
Text Classification (Q)
|
33% |
10
111.4 IPS |
|
|
Machine Translation (SP)
|
100% |
242
4.18 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (Q)
|
43% |
71
4.10 IPS |
