samsung SM-F936U1
Geekbench ML Score
2225
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2022 01:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-F936U1 |
| Model ID | samsung SM-F936U1 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1844
197.6 IPS |
|
|
Image Classification (F16)
|
100% |
2489
266.7 IPS |
|
|
Image Classification (I8)
|
80% |
2304
246.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4441
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
7725
47.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
6758
41.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2126
8.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
4104
16.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
4040
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
712
25.0 IPS |
|
|
Object Detection (F16)
|
99% |
1001
35.1 IPS |
|
|
Object Detection (I8)
|
53% |
951
33.4 IPS |
|
|
Face Detection (F32)
|
100% |
2921
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
5220
60.0 IPS |
|
|
Face Detection (I8)
|
75% |
4350
50.0 IPS |
|
|
Text Classification (F32)
|
100% |
792
313.3 IPS |
|
|
Text Classification (F16)
|
98% |
1057
418.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1114
171.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1101
169.7 IPS |
