samsung SM-S931B
Geekbench ML Score
3755
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 23 2025 05:55 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931B |
| Model ID | samsung SM-S931B |
| 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% |
3162
338.8 IPS |
|
|
Image Classification (F16)
|
100% |
5088
545.1 IPS |
|
|
Image Classification (I8)
|
80% |
4232
453.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
9182
56.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14603
90.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
16745
103.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4334
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
7935
32.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
7968
32.2 IPS |
|
|
Object Detection (F32)
|
100% |
1041
36.5 IPS |
|
|
Object Detection (F16)
|
100% |
1122
39.4 IPS |
|
|
Object Detection (I8)
|
54% |
1120
39.3 IPS |
|
|
Face Detection (F32)
|
100% |
5612
64.5 IPS |
|
|
Face Detection (F16)
|
97% |
10485
120.5 IPS |
|
|
Face Detection (I8)
|
76% |
8479
97.4 IPS |
|
|
Text Classification (F32)
|
100% |
1829
723.3 IPS |
|
|
Text Classification (F16)
|
98% |
2486
983.4 IPS |
|
|
Machine Translation (F32)
|
100% |
798
123.0 IPS |
|
|
Machine Translation (F16)
|
100% |
834
128.5 IPS |
