Samsung Galaxy S21+ 5G
Geekbench ML Score
690
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 11:51 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.00 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
414
44.4 IPS |
|
|
Image Classification (F16)
|
100% |
355
38.0 IPS |
|
|
Image Classification (I8)
|
81% |
376
40.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
595
3.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
594
3.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1790
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
526
2.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
1843
7.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
1857
7.51 IPS |
|
|
Object Detection (F32)
|
100% |
586
20.6 IPS |
|
|
Object Detection (F16)
|
99% |
917
32.2 IPS |
|
|
Object Detection (I8)
|
52% |
429
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
549
6.31 IPS |
|
|
Face Detection (F16)
|
100% |
546
6.27 IPS |
|
|
Face Detection (I8)
|
75% |
507
5.82 IPS |
|
|
Text Classification (F32)
|
100% |
945
373.8 IPS |
|
|
Text Classification (F16)
|
100% |
948
375.1 IPS |
|
|
Machine Translation (F32)
|
100% |
665
102.5 IPS |
|
|
Machine Translation (F16)
|
100% |
677
104.4 IPS |
