motorola motorola one 5G
Geekbench ML Score
235
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 10:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | motorola motorola one 5G |
| Model ID | motorola motorola one 5G |
| Motherboard | nairo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
130
13.9 IPS |
|
|
Image Classification (F16)
|
100% |
140
15.0 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
355
2.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
602
3.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
148
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
152
5.34 IPS |
|
|
Object Detection (F16)
|
100% |
149
5.22 IPS |
|
|
Object Detection (I8)
|
52% |
266
9.32 IPS |
|
|
Face Detection (F32)
|
100% |
285
3.28 IPS |
|
|
Face Detection (F16)
|
100% |
288
3.30 IPS |
|
|
Face Detection (I8)
|
75% |
445
5.11 IPS |
|
|
Text Classification (F32)
|
100% |
242
95.6 IPS |
|
|
Text Classification (F16)
|
100% |
236
93.4 IPS |
|
|
Machine Translation (F32)
|
100% |
344
53.0 IPS |
|
|
Machine Translation (F16)
|
100% |
342
52.7 IPS |
