Samsung Galaxy S9
Geekbench ML Score
687
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 02:00 AM |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
403
43.2 IPS |
|
|
Image Classification (F16)
|
100% |
526
56.4 IPS |
|
|
Image Classification (I8)
|
80% |
491
52.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
900
5.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
2242
13.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
2005
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
714
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1274
5.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
1283
5.19 IPS |
|
|
Object Detection (F32)
|
100% |
295
10.4 IPS |
|
|
Object Detection (F16)
|
99% |
428
15.0 IPS |
|
|
Object Detection (I8)
|
53% |
424
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
1088
12.5 IPS |
|
|
Face Detection (F16)
|
97% |
1708
19.6 IPS |
|
|
Face Detection (I8)
|
76% |
1416
16.3 IPS |
|
|
Text Classification (F32)
|
100% |
424
167.7 IPS |
|
|
Text Classification (F16)
|
98% |
459
181.6 IPS |
|
|
Machine Translation (F32)
|
100% |
243
37.5 IPS |
|
|
Machine Translation (F16)
|
100% |
245
37.8 IPS |
