motorola moto g72
Geekbench AI Score
287
Single Precision Score
506
Half Precision Score
401
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Fibogacci |
| Upload Date | July 25 2025 03:54 PM |
| Views | 7 |
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% |
159
29.5 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
97% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
1149
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
1997
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
99% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
288
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
993
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
782
6.03 IPS |
|
|
Depth Estimation (HP)
|
98% |
1488
11.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1188
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1911
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4043
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3954
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
716
26.5 IPS |
|
|
Text Classification (SP)
|
35% |
7
63.3 IPS |
|
|
Text Classification (HP)
|
35% |
10
92.5 IPS |
|
|
Text Classification (Q)
|
32% |
7
96.3 IPS |
|
|
Machine Translation (SP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (HP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (Q)
|
43% |
46
2.67 IPS |
