motorola moto g73 5G
Geekbench ML Score
261
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g73 5G |
| Model ID | motorola moto g73 5G |
| Motherboard | devonf |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
125
13.4 IPS |
|
|
Image Classification (F16)
|
100% |
85
9.15 IPS |
|
|
Image Classification (I8)
|
81% |
219
23.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
424
2.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
427
2.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
658
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
146
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
162
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
255
8.96 IPS |
|
|
Object Detection (F16)
|
100% |
250
8.78 IPS |
|
|
Object Detection (I8)
|
52% |
292
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
356
4.08 IPS |
|
|
Face Detection (F16)
|
100% |
334
3.84 IPS |
|
|
Face Detection (I8)
|
75% |
428
4.92 IPS |
|
|
Text Classification (F32)
|
100% |
307
121.3 IPS |
|
|
Text Classification (F16)
|
100% |
304
120.2 IPS |
|
|
Machine Translation (F32)
|
100% |
322
49.6 IPS |
|
|
Machine Translation (F16)
|
100% |
320
49.4 IPS |
