samsung SM-S9360
Geekbench ML Score
4172
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 07:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S9360 |
| Model ID | samsung SM-S9360 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2755
295.2 IPS |
|
|
Image Classification (F16)
|
100% |
3988
427.3 IPS |
|
|
Image Classification (I8)
|
80% |
4120
441.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
9333
57.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
15795
97.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
16895
104.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4313
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
7976
32.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
7991
32.3 IPS |
|
|
Object Detection (F32)
|
100% |
1513
53.1 IPS |
|
|
Object Detection (F16)
|
100% |
2048
71.9 IPS |
|
|
Object Detection (I8)
|
54% |
2048
71.9 IPS |
|
|
Face Detection (F32)
|
100% |
5793
66.6 IPS |
|
|
Face Detection (F16)
|
97% |
10418
119.7 IPS |
|
|
Face Detection (I8)
|
76% |
9321
107.1 IPS |
|
|
Text Classification (F32)
|
100% |
1751
692.7 IPS |
|
|
Text Classification (F16)
|
98% |
2284
903.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1196
184.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1156
178.1 IPS |
