samsung SM-S928B
Geekbench ML Score
3110
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 30 2025 03:43 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S928B |
| Model ID | samsung SM-S928B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2350
251.8 IPS |
|
|
Image Classification (F16)
|
100% |
3390
363.2 IPS |
|
|
Image Classification (I8)
|
80% |
3353
359.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6541
40.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
11037
68.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
10838
66.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3314
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
6226
25.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
6190
25.0 IPS |
|
|
Object Detection (F32)
|
100% |
1052
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
1148
40.3 IPS |
|
|
Object Detection (I8)
|
53% |
1148
40.3 IPS |
|
|
Face Detection (F32)
|
100% |
4278
49.1 IPS |
|
|
Face Detection (F16)
|
97% |
7483
86.0 IPS |
|
|
Face Detection (I8)
|
75% |
6160
70.8 IPS |
|
|
Text Classification (F32)
|
100% |
1186
469.0 IPS |
|
|
Text Classification (F16)
|
98% |
1358
537.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1409
217.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1397
215.3 IPS |
