motorola moto g(60)
Geekbench ML Score
260
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 06:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g(60) |
| Model ID | motorola moto g(60) |
| Motherboard | hanoip |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
122
22.8 IPS |
|
|
Image Classification (F16)
|
100% |
113
21.2 IPS |
|
|
Image Classification (I8)
|
97% |
198
37.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
98% |
244
4.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
280
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
274
0.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
1257
1.52 IPS |
|
|
Object Detection (F32)
|
100% |
173
12.9 IPS |
|
|
Object Detection (F16)
|
100% |
115
8.55 IPS |
|
|
Object Detection (I8)
|
61% |
250
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
345
4.10 IPS |
|
|
Face Detection (F16)
|
100% |
301
3.58 IPS |
|
|
Face Detection (I8)
|
86% |
606
7.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
296
2.29 IPS |
|
|
Depth Estimation (F16)
|
100% |
262
2.03 IPS |
|
|
Depth Estimation (I8)
|
95% |
565
4.38 IPS |
|
|
Style Transfer (F32)
|
100% |
523
0.69 IPS |
|
|
Style Transfer (F16)
|
100% |
520
0.68 IPS |
|
|
Style Transfer (I8)
|
98% |
1309
1.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
170
6.07 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
173
6.18 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
404
14.4 IPS |
|
|
Text Classification (F32)
|
100% |
129
185.3 IPS |
|
|
Text Classification (F16)
|
100% |
126
181.1 IPS |
|
|
Text Classification (I8)
|
92% |
119
171.1 IPS |
|
|
Machine Translation (F32)
|
100% |
279
5.14 IPS |
|
|
Machine Translation (F16)
|
100% |
294
5.41 IPS |
|
|
Machine Translation (I8)
|
64% |
133
2.45 IPS |
