Samsung Galaxy S9
Geekbench ML Score
227
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 01:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Samsung Galaxy S9 |
| Model ID | samsung SM-G960U |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
196
21.0 IPS |
|
|
Image Classification (F16)
|
100% |
169
18.1 IPS |
|
|
Image Classification (I8)
|
81% |
160
17.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
328
2.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
338
2.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
662
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
191
0.77 IPS |
|
|
Object Detection (F32)
|
100% |
236
8.28 IPS |
|
|
Object Detection (F16)
|
100% |
218
7.64 IPS |
|
|
Object Detection (I8)
|
52% |
230
8.07 IPS |
|
|
Face Detection (F32)
|
100% |
296
3.40 IPS |
|
|
Face Detection (F16)
|
100% |
288
3.31 IPS |
|
|
Face Detection (I8)
|
75% |
407
4.68 IPS |
|
|
Text Classification (F32)
|
100% |
160
63.2 IPS |
|
|
Text Classification (F16)
|
100% |
160
63.1 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.6 IPS |
