samsung SM-S928B
Geekbench ML Score
708
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
629
67.4 IPS |
|
|
Image Classification (F16)
|
100% |
500
53.6 IPS |
|
|
Image Classification (I8)
|
81% |
510
54.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
926
5.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
960
5.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
928
5.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
551
19.3 IPS |
|
|
Object Detection (F16)
|
100% |
629
22.1 IPS |
|
|
Object Detection (I8)
|
52% |
576
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
987
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
923
10.6 IPS |
|
|
Face Detection (I8)
|
75% |
730
8.38 IPS |
|
|
Text Classification (F32)
|
100% |
1331
526.4 IPS |
|
|
Text Classification (F16)
|
100% |
1340
529.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1382
213.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1378
212.4 IPS |
