Samsung Galaxy S21 FE
Geekbench ML Score
205
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 17 2024 06:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990E |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
211
39.5 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.7 IPS |
|
|
Image Classification (I8)
|
97% |
68
12.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
171
2.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
171
2.86 IPS |
|
|
Image Segmentation (I8)
|
98% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
447
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
416
0.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
1657
2.01 IPS |
|
|
Object Detection (F32)
|
100% |
101
7.56 IPS |
|
|
Object Detection (F16)
|
100% |
74
5.50 IPS |
|
|
Object Detection (I8)
|
61% |
85
6.34 IPS |
|
|
Face Detection (F32)
|
100% |
202
2.40 IPS |
|
|
Face Detection (F16)
|
100% |
205
2.44 IPS |
|
|
Face Detection (I8)
|
86% |
283
3.37 IPS |
|
|
Depth Estimation (F32)
|
100% |
255
1.98 IPS |
|
|
Depth Estimation (F16)
|
100% |
268
2.08 IPS |
|
|
Depth Estimation (I8)
|
95% |
291
2.25 IPS |
|
|
Style Transfer (F32)
|
100% |
909
1.20 IPS |
|
|
Style Transfer (F16)
|
100% |
867
1.14 IPS |
|
|
Style Transfer (I8)
|
98% |
1443
1.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
139
4.95 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
146
5.23 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
408
14.6 IPS |
|
|
Text Classification (F32)
|
100% |
232
333.0 IPS |
|
|
Text Classification (F16)
|
100% |
252
362.6 IPS |
|
|
Text Classification (I8)
|
92% |
189
271.4 IPS |
|
|
Machine Translation (F32)
|
100% |
33
0.61 IPS |
|
|
Machine Translation (F16)
|
100% |
26
0.48 IPS |
|
|
Machine Translation (I8)
|
64% |
32
0.59 IPS |
