samsung SM-S931B
Geekbench ML Score
463
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | acuesta |
| Upload Date | March 23 2025 05:58 PM |
| Views | 5 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
418
44.8 IPS |
|
|
Image Classification (F16)
|
100% |
436
46.7 IPS |
|
|
Image Classification (I8)
|
81% |
476
51.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
483
2.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
491
3.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
844
5.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
284
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
286
1.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
331
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
333
11.7 IPS |
|
|
Object Detection (I8)
|
52% |
380
13.3 IPS |
|
|
Face Detection (F32)
|
100% |
452
5.19 IPS |
|
|
Face Detection (F16)
|
100% |
531
6.10 IPS |
|
|
Face Detection (I8)
|
75% |
579
6.65 IPS |
|
|
Text Classification (F32)
|
100% |
738
292.0 IPS |
|
|
Text Classification (F16)
|
100% |
737
291.4 IPS |
|
|
Machine Translation (F32)
|
100% |
909
140.1 IPS |
|
|
Machine Translation (F16)
|
100% |
896
138.1 IPS |
