samsung SM-S908U1
Geekbench ML Score
3125
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2022 08:29 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S908U1 |
| Model ID | samsung SM-S908U1 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1349
144.5 IPS |
|
|
Image Classification (F16)
|
100% |
9424
1.01 KIPS |
|
|
Image Classification (I8)
|
80% |
22940
2.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2915
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
8429
52.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
41790
258.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
599
2.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
10414
42.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
55501
224.6 IPS |
|
|
Object Detection (F32)
|
100% |
1034
36.3 IPS |
|
|
Object Detection (F16)
|
100% |
1796
63.0 IPS |
|
|
Object Detection (I8)
|
53% |
1990
69.8 IPS |
|
|
Face Detection (F32)
|
100% |
1999
23.0 IPS |
|
|
Face Detection (F16)
|
97% |
7050
81.0 IPS |
|
|
Face Detection (I8)
|
76% |
49780
571.9 IPS |
|
|
Text Classification (F32)
|
100% |
16
6.25 IPS |
|
|
Text Classification (F16)
|
100% |
580
229.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1000
154.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1016
156.6 IPS |
