samsung SM-S901U
Geekbench ML Score
468
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2022 12:08 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
474
50.8 IPS |
|
|
Image Classification (F16)
|
100% |
463
49.6 IPS |
|
|
Image Classification (I8)
|
81% |
188
20.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
711
4.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
704
4.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
878
5.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
277
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
264
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
429
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
444
15.6 IPS |
|
|
Object Detection (I8)
|
52% |
285
10.00 IPS |
|
|
Face Detection (F32)
|
100% |
712
8.18 IPS |
|
|
Face Detection (F16)
|
100% |
684
7.86 IPS |
|
|
Face Detection (I8)
|
75% |
522
6.00 IPS |
|
|
Text Classification (F32)
|
100% |
351
138.8 IPS |
|
|
Text Classification (F16)
|
100% |
369
146.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1002
154.5 IPS |
|
|
Machine Translation (F16)
|
100% |
972
149.9 IPS |
