Samsung Galaxy S21+ 5G
Geekbench ML Score
553
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 23 2024 02:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996N |
| 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 | 7.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
204
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
202
37.9 IPS |
|
|
Image Classification (I8)
|
97% |
573
107.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
471
7.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
613
10.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
574
9.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
1622
1.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
6501
7.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
1520
1.84 IPS |
|
|
Object Detection (F32)
|
100% |
207
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
205
15.3 IPS |
|
|
Object Detection (I8)
|
61% |
636
47.5 IPS |
|
|
Face Detection (F32)
|
100% |
490
5.82 IPS |
|
|
Face Detection (F16)
|
100% |
486
5.78 IPS |
|
|
Face Detection (I8)
|
86% |
1164
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
425
3.29 IPS |
|
|
Depth Estimation (I8)
|
95% |
1327
10.3 IPS |
|
|
Style Transfer (F32)
|
100% |
899
1.18 IPS |
|
|
Style Transfer (F16)
|
99% |
892
1.17 IPS |
|
|
Style Transfer (I8)
|
98% |
877
1.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
709
25.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1120
40.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
987
35.2 IPS |
|
|
Text Classification (F32)
|
100% |
136
195.9 IPS |
|
|
Text Classification (F16)
|
100% |
149
213.5 IPS |
|
|
Text Classification (I8)
|
92% |
130
186.6 IPS |
|
|
Machine Translation (F32)
|
100% |
474
8.72 IPS |
|
|
Machine Translation (F16)
|
100% |
468
8.61 IPS |
|
|
Machine Translation (I8)
|
64% |
545
10.0 IPS |
