Samsung Galaxy S10 5G
Geekbench ML Score
1071
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 21 2022 09:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10 5G |
| Model ID | samsung SM-G977U |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
766
82.1 IPS |
|
|
Image Classification (F16)
|
100% |
1384
148.3 IPS |
|
|
Image Classification (I8)
|
80% |
1246
133.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1860
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3305
20.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
3140
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
941
3.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
1672
6.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
1662
6.72 IPS |
|
|
Object Detection (F32)
|
100% |
394
13.8 IPS |
|
|
Object Detection (F16)
|
99% |
565
19.8 IPS |
|
|
Object Detection (I8)
|
53% |
522
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
1576
18.1 IPS |
|
|
Face Detection (F16)
|
97% |
2579
29.6 IPS |
|
|
Face Detection (I8)
|
76% |
2355
27.1 IPS |
|
|
Text Classification (F32)
|
100% |
491
194.3 IPS |
|
|
Text Classification (F16)
|
98% |
532
210.4 IPS |
|
|
Machine Translation (F32)
|
100% |
442
68.1 IPS |
|
|
Machine Translation (F16)
|
100% |
437
67.3 IPS |
