Samsung Galaxy S21 FE
Geekbench ML Score
638
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 14 2024 10:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
325
60.8 IPS |
|
|
Image Classification (F16)
|
100% |
695
130.1 IPS |
|
|
Image Classification (I8)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (F32)
|
100% |
630
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1085
18.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
578
9.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
1935
2.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
6238
7.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
1267
1.53 IPS |
|
|
Object Detection (F32)
|
100% |
567
42.4 IPS |
|
|
Object Detection (F16)
|
100% |
970
72.4 IPS |
|
|
Object Detection (I8)
|
0% |
2765
206.5 IPS |
|
|
Face Detection (F32)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (F16)
|
97% |
2638
31.4 IPS |
|
|
Face Detection (I8)
|
86% |
1108
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
684
5.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
836
6.49 IPS |
|
|
Depth Estimation (I8)
|
74% |
8756
67.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2077
2.73 IPS |
|
|
Style Transfer (F16)
|
100% |
2716
3.57 IPS |
|
|
Style Transfer (I8)
|
19% |
584
0.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1058
37.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3476
124.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
270
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
4
6.22 IPS |
|
|
Text Classification (F16)
|
100% |
60
86.1 IPS |
|
|
Text Classification (I8)
|
94% |
31
44.9 IPS |
|
|
Machine Translation (F32)
|
100% |
268
4.93 IPS |
|
|
Machine Translation (F16)
|
100% |
442
8.14 IPS |
|
|
Machine Translation (I8)
|
64% |
554
10.2 IPS |
