Samsung Galaxy S21+ 5G
Geekbench ML Score
454
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 08:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
430
46.0 IPS |
|
|
Image Classification (F16)
|
100% |
407
43.6 IPS |
|
|
Image Classification (I8)
|
81% |
183
19.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
661
4.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
663
4.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
964
5.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
426
14.9 IPS |
|
|
Object Detection (F16)
|
100% |
420
14.7 IPS |
|
|
Object Detection (I8)
|
52% |
281
9.86 IPS |
|
|
Face Detection (F32)
|
100% |
687
7.89 IPS |
|
|
Face Detection (F16)
|
100% |
660
7.59 IPS |
|
|
Face Detection (I8)
|
75% |
578
6.64 IPS |
|
|
Text Classification (F32)
|
100% |
435
172.0 IPS |
|
|
Text Classification (F16)
|
100% |
436
172.6 IPS |
|
|
Machine Translation (F32)
|
100% |
673
103.6 IPS |
|
|
Machine Translation (F16)
|
100% |
670
103.3 IPS |
