samsung SM-S928B
Geekbench ML Score
702
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 30 2025 03:36 PM |
| Views | 15 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
668
71.6 IPS |
|
|
Image Classification (F16)
|
100% |
667
71.4 IPS |
|
|
Image Classification (I8)
|
81% |
213
22.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1221
7.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
1195
7.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1164
7.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
556
2.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
550
2.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
353
1.43 IPS |
|
|
Object Detection (F32)
|
100% |
711
24.9 IPS |
|
|
Object Detection (F16)
|
100% |
721
25.3 IPS |
|
|
Object Detection (I8)
|
52% |
372
13.0 IPS |
|
|
Face Detection (F32)
|
100% |
1333
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1355
15.6 IPS |
|
|
Face Detection (I8)
|
75% |
655
7.53 IPS |
|
|
Text Classification (F32)
|
100% |
401
158.5 IPS |
|
|
Text Classification (F16)
|
100% |
400
158.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1393
214.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1392
214.5 IPS |
