Sony NW-A100Series
Geekbench ML Score
51
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Puffin |
| Upload Date | August 09 2022 12:00 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Sony NW-A100Series |
| Model ID | Sony NW-A100Series |
| Motherboard | EVK |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
59
6.33 IPS |
|
|
Image Classification (F16)
|
100% |
60
6.41 IPS |
|
|
Image Classification (I8)
|
81% |
82
8.75 IPS |
|
|
Image Segmentation (F32)
|
100% |
79
0.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
78
0.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
110
0.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
29
0.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
29
0.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
39
0.16 IPS |
|
|
Object Detection (F32)
|
100% |
73
2.56 IPS |
|
|
Object Detection (F16)
|
100% |
72
2.53 IPS |
|
|
Object Detection (I8)
|
52% |
125
4.40 IPS |
|
|
Face Detection (F32)
|
100% |
75
0.86 IPS |
|
|
Face Detection (F16)
|
100% |
74
0.85 IPS |
|
|
Face Detection (I8)
|
75% |
99
1.14 IPS |
|
|
Text Classification (F32)
|
100% |
20
7.96 IPS |
|
|
Text Classification (F16)
|
100% |
20
7.92 IPS |
|
|
Machine Translation (F32)
|
100% |
17
2.69 IPS |
|
|
Machine Translation (F16)
|
100% |
18
2.71 IPS |
