samsung SM-S901U
Geekbench ML Score
2714
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 04 2022 03:45 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S901U |
| Model ID | samsung SM-S901U |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
597
64.0 IPS |
|
|
Image Classification (F16)
|
100% |
8157
874.0 IPS |
|
|
Image Classification (I8)
|
80% |
18111
1.94 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1402
8.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
7361
45.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
35553
219.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
565
2.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
10785
43.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
54967
222.4 IPS |
|
|
Object Detection (F32)
|
100% |
1008
35.4 IPS |
|
|
Object Detection (F16)
|
100% |
1742
61.1 IPS |
|
|
Object Detection (I8)
|
53% |
1979
69.4 IPS |
|
|
Face Detection (F32)
|
100% |
1926
22.1 IPS |
|
|
Face Detection (F16)
|
97% |
6924
79.6 IPS |
|
|
Face Detection (I8)
|
76% |
45983
528.3 IPS |
|
|
Text Classification (F32)
|
100% |
15
6.04 IPS |
|
|
Text Classification (F16)
|
100% |
571
225.9 IPS |
|
|
Machine Translation (F32)
|
100% |
955
147.1 IPS |
|
|
Machine Translation (F16)
|
100% |
917
141.4 IPS |
