motorola moto g24
Geekbench AI Score
22
Single Precision Score
354
Half Precision Score
265
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 09:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g24 |
| Model ID | motorola moto g24 |
| Motherboard | p325a |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
97% |
182
34.0 IPS |
|
|
Image Segmentation (SP)
|
73% |
140
2.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
314
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
651
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1367
1.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
1344
1.58 IPS |
|
|
Object Detection (SP)
|
1% |
0
7.62 IPS |
|
|
Object Detection (HP)
|
99% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
83% |
189
15.3 IPS |
|
|
Face Detection (SP)
|
0% |
0
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
96% |
679
8.09 IPS |
|
|
Depth Estimation (SP)
|
1% |
1
3.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
790
6.10 IPS |
|
|
Depth Estimation (Q)
|
62% |
620
5.89 IPS |
|
|
Style Transfer (SP)
|
100% |
986
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1980
2.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
472
17.5 IPS |
|
|
Text Classification (SP)
|
35% |
7
71.6 IPS |
|
|
Text Classification (HP)
|
35% |
10
90.0 IPS |
|
|
Text Classification (Q)
|
29% |
5
87.0 IPS |
|
|
Machine Translation (SP)
|
100% |
171
2.95 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (Q)
|
43% |
60
3.48 IPS |
