samsung SM-A207M
Geekbench ML Score
80
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2023 02:58 PM |
| Views | 3 |
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% |
55
5.86 IPS |
|
|
Image Classification (F16)
|
100% |
55
5.85 IPS |
|
|
Image Classification (I8)
|
81% |
147
15.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
102
0.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
101
0.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
394
2.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
82
2.88 IPS |
|
|
Object Detection (F16)
|
100% |
82
2.86 IPS |
|
|
Object Detection (I8)
|
52% |
161
5.65 IPS |
|
|
Face Detection (F32)
|
100% |
114
1.31 IPS |
|
|
Face Detection (F16)
|
100% |
114
1.31 IPS |
|
|
Face Detection (I8)
|
75% |
290
3.33 IPS |
|
|
Text Classification (F32)
|
100% |
57
22.6 IPS |
|
|
Text Classification (F16)
|
100% |
57
22.4 IPS |
|
|
Machine Translation (F32)
|
100% |
14
2.16 IPS |
|
|
Machine Translation (F16)
|
100% |
14
2.15 IPS |
