samsung SM-S908U
Geekbench ML Score
363
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 30 2022 12:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S908U |
| Model ID | samsung SM-S908U |
| 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 | 9.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
342
36.7 IPS |
|
|
Image Classification (F16)
|
100% |
340
36.5 IPS |
|
|
Image Classification (I8)
|
81% |
182
19.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
531
3.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
531
3.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
610
3.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
234
0.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
159
0.64 IPS |
|
|
Object Detection (F32)
|
100% |
334
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
339
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
247
8.66 IPS |
|
|
Face Detection (F32)
|
100% |
585
6.72 IPS |
|
|
Face Detection (F16)
|
100% |
589
6.76 IPS |
|
|
Face Detection (I8)
|
75% |
419
4.81 IPS |
|
|
Text Classification (F32)
|
100% |
278
110.1 IPS |
|
|
Text Classification (F16)
|
100% |
274
108.4 IPS |
|
|
Machine Translation (F32)
|
100% |
670
103.2 IPS |
|
|
Machine Translation (F16)
|
100% |
670
103.2 IPS |
