Samsung Galaxy S20+
Geekbench ML Score
533
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2021 11:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy S20+ |
| Model ID | samsung SM-G986B |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 10.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
238
25.5 IPS |
|
|
Image Classification (F16)
|
100% |
250
26.7 IPS |
|
|
Image Classification (I8)
|
81% |
187
20.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
383
2.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1590
9.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
428
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
1492
6.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
1437
5.81 IPS |
|
|
Object Detection (F32)
|
100% |
551
19.3 IPS |
|
|
Object Detection (F16)
|
99% |
731
25.6 IPS |
|
|
Object Detection (I8)
|
52% |
316
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
527
6.06 IPS |
|
|
Face Detection (F16)
|
100% |
525
6.03 IPS |
|
|
Face Detection (I8)
|
75% |
413
4.75 IPS |
|
|
Text Classification (F32)
|
100% |
680
268.8 IPS |
|
|
Text Classification (F16)
|
100% |
689
272.3 IPS |
|
|
Machine Translation (F32)
|
100% |
642
99.0 IPS |
|
|
Machine Translation (F16)
|
100% |
649
100.0 IPS |
