Samsung Galaxy S21 5G
Geekbench ML Score
417
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 15 2021 02:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991U |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
381
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
396
42.4 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
619
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
612
3.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
870
5.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
360
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
388
13.6 IPS |
|
|
Object Detection (I8)
|
52% |
251
8.80 IPS |
|
|
Face Detection (F32)
|
100% |
573
6.58 IPS |
|
|
Face Detection (F16)
|
100% |
577
6.63 IPS |
|
|
Face Detection (I8)
|
75% |
532
6.11 IPS |
|
|
Text Classification (F32)
|
100% |
358
141.6 IPS |
|
|
Text Classification (F16)
|
100% |
351
138.7 IPS |
|
|
Machine Translation (F32)
|
100% |
751
115.7 IPS |
|
|
Machine Translation (F16)
|
100% |
749
115.4 IPS |
