Samsung Galaxy S21 5G
Geekbench ML Score
384
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2021 03:26 AM |
| Views | 302 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991N |
| 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 | 7.02 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
357
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
339
36.4 IPS |
|
|
Image Classification (I8)
|
81% |
162
17.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
541
3.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
545
3.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
893
5.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
339
11.9 IPS |
|
|
Object Detection (F16)
|
100% |
341
12.0 IPS |
|
|
Object Detection (I8)
|
52% |
261
9.15 IPS |
|
|
Face Detection (F32)
|
100% |
548
6.30 IPS |
|
|
Face Detection (F16)
|
100% |
552
6.34 IPS |
|
|
Face Detection (I8)
|
75% |
556
6.39 IPS |
|
|
Text Classification (F32)
|
100% |
321
126.9 IPS |
|
|
Text Classification (F16)
|
100% |
330
130.4 IPS |
|
|
Machine Translation (F32)
|
100% |
543
83.6 IPS |
|
|
Machine Translation (F16)
|
100% |
541
83.3 IPS |
