samsung SM-M556E
Geekbench ML Score
286
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2024 09:42 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M556E |
| Model ID | samsung SM-M556E |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 6.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
105
11.3 IPS |
|
|
Image Classification (F16)
|
100% |
252
27.0 IPS |
|
|
Image Classification (I8)
|
81% |
177
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
432
2.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
454
2.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
601
3.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
170
0.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
171
0.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
311
10.9 IPS |
|
|
Object Detection (I8)
|
52% |
246
8.63 IPS |
|
|
Face Detection (F32)
|
100% |
450
5.17 IPS |
|
|
Face Detection (F16)
|
100% |
461
5.30 IPS |
|
|
Face Detection (I8)
|
75% |
427
4.90 IPS |
|
|
Text Classification (F32)
|
100% |
246
97.2 IPS |
|
|
Text Classification (F16)
|
100% |
255
100.7 IPS |
|
|
Machine Translation (F32)
|
100% |
405
62.4 IPS |
|
|
Machine Translation (F16)
|
100% |
400
61.6 IPS |
