samsung SM-F9160
Geekbench ML Score
1458
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 26 2024 05:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-F9160 |
| Model ID | samsung SM-F9160 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
982
105.2 IPS |
|
|
Image Classification (F16)
|
100% |
1576
168.8 IPS |
|
|
Image Classification (I8)
|
80% |
1384
148.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2513
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4131
25.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
4055
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1331
5.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
2236
9.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
2223
8.99 IPS |
|
|
Object Detection (F32)
|
100% |
954
33.5 IPS |
|
|
Object Detection (F16)
|
99% |
1277
44.8 IPS |
|
|
Object Detection (I8)
|
53% |
1232
43.2 IPS |
|
|
Face Detection (F32)
|
100% |
1825
21.0 IPS |
|
|
Face Detection (F16)
|
97% |
3061
35.2 IPS |
|
|
Face Detection (I8)
|
76% |
2754
31.6 IPS |
|
|
Text Classification (F32)
|
100% |
502
198.5 IPS |
|
|
Text Classification (F16)
|
98% |
542
214.3 IPS |
|
|
Machine Translation (F32)
|
100% |
590
90.9 IPS |
|
|
Machine Translation (F16)
|
100% |
592
91.2 IPS |
