samsung SM-S906U1
Geekbench ML Score
398
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2022 12:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S906U1 |
| Model ID | samsung SM-S906U1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
322
34.5 IPS |
|
|
Image Classification (F16)
|
100% |
322
34.5 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
3.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
623
3.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
706
4.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
185
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
371
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
355
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.08 IPS |
|
|
Face Detection (F32)
|
100% |
633
7.27 IPS |
|
|
Face Detection (F16)
|
100% |
638
7.32 IPS |
|
|
Face Detection (I8)
|
75% |
432
4.96 IPS |
|
|
Text Classification (F32)
|
100% |
316
125.1 IPS |
|
|
Text Classification (F16)
|
100% |
332
131.2 IPS |
|
|
Machine Translation (F32)
|
100% |
842
129.7 IPS |
|
|
Machine Translation (F16)
|
100% |
841
129.6 IPS |
