Samsung Galaxy S9
Geekbench ML Score
195
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 29 2023 01:56 PM |
| Views | 1 |
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% |
139
14.9 IPS |
|
|
Image Classification (F16)
|
100% |
134
14.3 IPS |
|
|
Image Classification (I8)
|
81% |
155
16.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
318
1.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
318
1.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
651
4.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
127
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
188
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
199
6.97 IPS |
|
|
Object Detection (F16)
|
100% |
189
6.62 IPS |
|
|
Object Detection (I8)
|
52% |
212
7.42 IPS |
|
|
Face Detection (F32)
|
100% |
264
3.04 IPS |
|
|
Face Detection (F16)
|
100% |
246
2.83 IPS |
|
|
Face Detection (I8)
|
75% |
410
4.71 IPS |
|
|
Text Classification (F32)
|
100% |
115
45.6 IPS |
|
|
Text Classification (F16)
|
100% |
109
43.1 IPS |
|
|
Machine Translation (F32)
|
100% |
153
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
153
23.5 IPS |
