Samsung Galaxy S21 FE
Geekbench ML Score
316
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 17 2024 06:31 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
202
37.9 IPS |
|
|
Image Classification (F16)
|
100% |
349
65.2 IPS |
|
|
Image Classification (I8)
|
97% |
349
65.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
284
4.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
450
7.52 IPS |
|
|
Image Segmentation (I8)
|
98% |
431
7.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
160
0.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
160
0.19 IPS |
|
|
Object Detection (F32)
|
100% |
150
11.2 IPS |
|
|
Object Detection (F16)
|
100% |
221
16.5 IPS |
|
|
Object Detection (I8)
|
62% |
212
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
712
8.47 IPS |
|
|
Face Detection (F16)
|
98% |
1075
12.8 IPS |
|
|
Face Detection (I8)
|
86% |
946
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
272
2.11 IPS |
|
|
Depth Estimation (F16)
|
100% |
361
2.80 IPS |
|
|
Depth Estimation (I8)
|
95% |
358
2.77 IPS |
|
|
Style Transfer (F32)
|
100% |
571
0.75 IPS |
|
|
Style Transfer (F16)
|
100% |
980
1.29 IPS |
|
|
Style Transfer (I8)
|
98% |
982
1.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
188
6.70 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
305
10.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
310
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
151
216.4 IPS |
|
|
Text Classification (F16)
|
100% |
151
216.3 IPS |
|
|
Text Classification (I8)
|
92% |
245
352.3 IPS |
|
|
Machine Translation (F32)
|
100% |
281
5.17 IPS |
|
|
Machine Translation (F16)
|
100% |
281
5.17 IPS |
|
|
Machine Translation (I8)
|
64% |
292
5.37 IPS |
