samsung SM-M556E
Geekbench ML Score
349
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2024 10:46 AM |
| Views | 1 |
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% |
391
41.9 IPS |
|
|
Image Classification (F16)
|
100% |
381
40.8 IPS |
|
|
Image Classification (I8)
|
81% |
178
19.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
590
3.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
545
3.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
792
4.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
235
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
192
0.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
316
11.1 IPS |
|
|
Object Detection (F16)
|
100% |
312
10.9 IPS |
|
|
Object Detection (I8)
|
52% |
269
9.45 IPS |
|
|
Face Detection (F32)
|
100% |
539
6.20 IPS |
|
|
Face Detection (F16)
|
100% |
462
5.31 IPS |
|
|
Face Detection (I8)
|
75% |
436
5.01 IPS |
|
|
Text Classification (F32)
|
100% |
250
98.7 IPS |
|
|
Text Classification (F16)
|
100% |
279
110.5 IPS |
|
|
Machine Translation (F32)
|
100% |
472
72.7 IPS |
|
|
Machine Translation (F16)
|
100% |
474
73.0 IPS |
