samsung SM-S901U
Geekbench ML Score
2653
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 18 2022 08:27 AM |
| Views | 1 |
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% |
1016
108.9 IPS |
|
|
Image Classification (F16)
|
100% |
7790
834.7 IPS |
|
|
Image Classification (I8)
|
80% |
16486
1.77 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2364
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7037
43.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
35004
216.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
465
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
9363
37.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
52205
211.2 IPS |
|
|
Object Detection (F32)
|
100% |
868
30.4 IPS |
|
|
Object Detection (F16)
|
100% |
1415
49.7 IPS |
|
|
Object Detection (I8)
|
53% |
1710
60.0 IPS |
|
|
Face Detection (F32)
|
100% |
1470
16.9 IPS |
|
|
Face Detection (F16)
|
97% |
6940
79.7 IPS |
|
|
Face Detection (I8)
|
76% |
44982
516.8 IPS |
|
|
Text Classification (F32)
|
100% |
14
5.56 IPS |
|
|
Text Classification (F16)
|
100% |
578
228.7 IPS |
|
|
Machine Translation (F32)
|
100% |
910
140.2 IPS |
|
|
Machine Translation (F16)
|
100% |
918
141.4 IPS |
