samsung SM-A037F
Geekbench ML Score
57
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 03:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A037F |
| Model ID | samsung SM-A037F |
| Motherboard | a03s |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/WB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.71 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
38
4.07 IPS |
|
|
Image Classification (F16)
|
100% |
39
4.13 IPS |
|
|
Image Classification (I8)
|
81% |
83
8.85 IPS |
|
|
Image Segmentation (F32)
|
100% |
94
0.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
92
0.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
258
1.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
36
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
57
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
55
1.94 IPS |
|
|
Object Detection (F16)
|
100% |
54
1.89 IPS |
|
|
Object Detection (I8)
|
52% |
124
4.35 IPS |
|
|
Face Detection (F32)
|
100% |
80
0.92 IPS |
|
|
Face Detection (F16)
|
100% |
78
0.90 IPS |
|
|
Face Detection (I8)
|
75% |
146
1.68 IPS |
|
|
Text Classification (F32)
|
100% |
55
21.9 IPS |
|
|
Text Classification (F16)
|
100% |
56
22.1 IPS |
|
|
Machine Translation (F32)
|
100% |
12
1.86 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.87 IPS |
