Samsung Galaxy S20+
Geekbench ML Score
367
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 01 2025 12:55 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ |
| Model ID | samsung SM-G985F |
| 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
170
31.7 IPS |
|
|
Image Classification (F16)
|
100% |
285
53.3 IPS |
|
|
Image Classification (I8)
|
97% |
261
48.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
231
3.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
368
6.15 IPS |
|
|
Image Segmentation (I8)
|
98% |
354
5.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
122
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
153
0.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
153
0.18 IPS |
|
|
Object Detection (F32)
|
100% |
126
9.41 IPS |
|
|
Object Detection (F16)
|
100% |
191
14.3 IPS |
|
|
Object Detection (I8)
|
62% |
185
13.8 IPS |
|
|
Face Detection (F32)
|
100% |
582
6.92 IPS |
|
|
Face Detection (F16)
|
98% |
808
9.61 IPS |
|
|
Face Detection (I8)
|
86% |
783
9.31 IPS |
|
|
Depth Estimation (F32)
|
100% |
246
1.91 IPS |
|
|
Depth Estimation (F16)
|
100% |
329
2.55 IPS |
|
|
Depth Estimation (I8)
|
95% |
697
5.41 IPS |
|
|
Style Transfer (F32)
|
100% |
1145
1.51 IPS |
|
|
Style Transfer (F16)
|
100% |
1895
2.49 IPS |
|
|
Style Transfer (I8)
|
98% |
1891
2.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
340
12.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
533
19.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
526
18.8 IPS |
|
|
Text Classification (F32)
|
100% |
246
353.7 IPS |
|
|
Text Classification (F16)
|
100% |
243
349.7 IPS |
|
|
Text Classification (I8)
|
92% |
449
645.9 IPS |
|
|
Machine Translation (F32)
|
100% |
431
7.93 IPS |
|
|
Machine Translation (F16)
|
100% |
407
7.48 IPS |
|
|
Machine Translation (I8)
|
64% |
499
9.18 IPS |
