motorola moto g - 2025
Geekbench ML Score
192
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 23 2025 10:38 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g - 2025 |
| Model ID | motorola moto g - 2025 |
| Motherboard | kansas |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
105
19.6 IPS |
|
|
Image Classification (F16)
|
100% |
190
35.5 IPS |
|
|
Image Classification (I8)
|
97% |
166
31.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
137
2.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
239
3.99 IPS |
|
|
Image Segmentation (I8)
|
98% |
233
3.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
112
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
83
6.19 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.78 IPS |
|
|
Object Detection (I8)
|
62% |
121
9.05 IPS |
|
|
Face Detection (F32)
|
100% |
312
3.70 IPS |
|
|
Face Detection (F16)
|
98% |
441
5.24 IPS |
|
|
Face Detection (I8)
|
86% |
430
5.11 IPS |
|
|
Depth Estimation (F32)
|
100% |
185
1.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
243
1.88 IPS |
|
|
Depth Estimation (I8)
|
95% |
240
1.86 IPS |
|
|
Style Transfer (F32)
|
100% |
364
0.48 IPS |
|
|
Style Transfer (F16)
|
100% |
512
0.67 IPS |
|
|
Style Transfer (I8)
|
98% |
512
0.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
98
3.50 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
153
5.45 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
152
5.42 IPS |
|
|
Text Classification (F32)
|
100% |
133
191.7 IPS |
|
|
Text Classification (F16)
|
100% |
133
191.7 IPS |
|
|
Text Classification (I8)
|
92% |
248
356.8 IPS |
|
|
Machine Translation (F32)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (F16)
|
100% |
225
4.14 IPS |
|
|
Machine Translation (I8)
|
64% |
268
4.94 IPS |
