samsung SM-A207M
Geekbench ML Score
77
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A207M |
| Model ID | samsung SM-A207M |
| Motherboard | msm8953 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
53
5.70 IPS |
|
|
Image Classification (F16)
|
100% |
53
5.69 IPS |
|
|
Image Classification (I8)
|
81% |
150
16.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
100
0.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
99
0.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
368
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
53
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
78
2.75 IPS |
|
|
Object Detection (F16)
|
100% |
78
2.75 IPS |
|
|
Object Detection (I8)
|
52% |
153
5.37 IPS |
|
|
Face Detection (F32)
|
100% |
110
1.27 IPS |
|
|
Face Detection (F16)
|
100% |
109
1.26 IPS |
|
|
Face Detection (I8)
|
75% |
274
3.15 IPS |
|
|
Text Classification (F32)
|
100% |
57
22.4 IPS |
|
|
Text Classification (F16)
|
100% |
56
22.3 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.19 IPS |
|
|
Machine Translation (F16)
|
100% |
15
2.28 IPS |
