Samsung Galaxy S21+ 5G
Geekbench ML Score
489
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 10 2024 12:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996B |
| 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% |
193
36.2 IPS |
|
|
Image Classification (F16)
|
100% |
188
35.3 IPS |
|
|
Image Classification (I8)
|
97% |
531
99.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
395
6.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
537
8.97 IPS |
|
|
Image Segmentation (I8)
|
98% |
537
8.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
1594
1.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
6017
7.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
1429
1.73 IPS |
|
|
Object Detection (F32)
|
100% |
193
14.4 IPS |
|
|
Object Detection (F16)
|
100% |
193
14.4 IPS |
|
|
Object Detection (I8)
|
61% |
598
44.6 IPS |
|
|
Face Detection (F32)
|
100% |
453
5.38 IPS |
|
|
Face Detection (F16)
|
100% |
432
5.14 IPS |
|
|
Face Detection (I8)
|
86% |
1052
12.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
385
2.98 IPS |
|
|
Depth Estimation (F16)
|
100% |
388
3.01 IPS |
|
|
Depth Estimation (I8)
|
95% |
1234
9.57 IPS |
|
|
Style Transfer (F32)
|
100% |
797
1.05 IPS |
|
|
Style Transfer (F16)
|
100% |
810
1.07 IPS |
|
|
Style Transfer (I8)
|
98% |
842
1.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
662
23.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
973
34.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
927
33.1 IPS |
|
|
Text Classification (F32)
|
100% |
88
126.6 IPS |
|
|
Text Classification (F16)
|
100% |
91
130.8 IPS |
|
|
Text Classification (I8)
|
92% |
74
106.7 IPS |
|
|
Machine Translation (F32)
|
100% |
445
8.18 IPS |
|
|
Machine Translation (F16)
|
100% |
433
7.98 IPS |
|
|
Machine Translation (I8)
|
64% |
513
9.44 IPS |
