samsung SM-A035F
Geekbench ML Score
166
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 06:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A035F |
| Model ID | samsung SM-A035F |
| Motherboard | ums9230_25c10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM UNISOC |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 2.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
11.5 IPS |
|
|
Image Classification (F16)
|
100% |
109
11.7 IPS |
|
|
Image Classification (I8)
|
81% |
211
22.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
226
1.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
503
3.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
154
5.41 IPS |
|
|
Object Detection (F16)
|
100% |
153
5.36 IPS |
|
|
Object Detection (I8)
|
52% |
253
8.88 IPS |
|
|
Face Detection (F32)
|
100% |
221
2.54 IPS |
|
|
Face Detection (F16)
|
100% |
218
2.50 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
134
53.0 IPS |
|
|
Text Classification (F16)
|
100% |
134
53.2 IPS |
|
|
Machine Translation (F32)
|
100% |
117
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
110
17.0 IPS |
