samsung SM-S928B
Geekbench ML Score
709
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 01 2025 06:39 AM |
| Views | 6 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
641
68.7 IPS |
|
|
Image Classification (F16)
|
100% |
502
53.8 IPS |
|
|
Image Classification (I8)
|
81% |
503
53.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
951
5.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
914
5.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
924
5.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
397
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
389
1.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
633
22.2 IPS |
|
|
Object Detection (F16)
|
100% |
554
19.4 IPS |
|
|
Object Detection (I8)
|
52% |
579
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
986
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
995
11.4 IPS |
|
|
Face Detection (I8)
|
75% |
720
8.27 IPS |
|
|
Text Classification (F32)
|
100% |
1351
534.1 IPS |
|
|
Text Classification (F16)
|
100% |
1362
538.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1360
209.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1367
210.6 IPS |
