motorola moto g(30)
Geekbench AI Score
295
Single Precision Score
301
Half Precision Score
348
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g(30) |
| Model ID | motorola moto g(30) |
| Motherboard | caprip |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
100% |
222
41.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
299
4.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
679
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
222
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
95% |
552
6.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
548
5.02 IPS |
|
|
Style Transfer (SP)
|
89% |
1267
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1444
1.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1556
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
340
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
146
195.1 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.5 IPS |
|
|
Text Classification (Q)
|
88% |
170
229.8 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.83 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (Q)
|
50% |
98
3.49 IPS |
