samsung SM-E146B
Geekbench ML Score
245
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 06:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-E146B |
| Model ID | samsung SM-E146B |
| Motherboard | s5e8535 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
172
18.4 IPS |
|
|
Image Classification (F16)
|
100% |
162
17.3 IPS |
|
|
Image Classification (I8)
|
81% |
183
19.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
378
2.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
517
3.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
111
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
210
7.36 IPS |
|
|
Object Detection (F16)
|
100% |
209
7.35 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.09 IPS |
|
|
Face Detection (F32)
|
100% |
304
3.49 IPS |
|
|
Face Detection (F16)
|
100% |
308
3.54 IPS |
|
|
Face Detection (I8)
|
75% |
347
3.98 IPS |
|
|
Text Classification (F32)
|
100% |
278
109.9 IPS |
|
|
Text Classification (F16)
|
100% |
278
109.8 IPS |
|
|
Machine Translation (F32)
|
100% |
332
51.1 IPS |
|
|
Machine Translation (F16)
|
100% |
329
50.8 IPS |
