SHARP A102SH
Geekbench ML Score
230
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 23 2023 04:09 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | SHARP A102SH |
| Model ID | SHARP A102SH |
| Motherboard | Recoa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
123
13.2 IPS |
|
|
Image Classification (F16)
|
100% |
144
15.4 IPS |
|
|
Image Classification (I8)
|
81% |
170
18.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
392
2.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
375
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
613
3.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
159
0.64 IPS |
|
|
Object Detection (F32)
|
100% |
151
5.30 IPS |
|
|
Object Detection (F16)
|
100% |
161
5.65 IPS |
|
|
Object Detection (I8)
|
52% |
205
7.20 IPS |
|
|
Face Detection (F32)
|
100% |
326
3.74 IPS |
|
|
Face Detection (F16)
|
100% |
321
3.69 IPS |
|
|
Face Detection (I8)
|
75% |
289
3.32 IPS |
|
|
Text Classification (F32)
|
100% |
215
85.1 IPS |
|
|
Text Classification (F16)
|
100% |
215
85.0 IPS |
|
|
Machine Translation (F32)
|
100% |
347
53.5 IPS |
|
|
Machine Translation (F16)
|
100% |
342
52.8 IPS |
