samsung SM-S928U1
Geekbench ML Score
540
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 05 2024 10:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928U1 |
| Model ID | samsung SM-S928U1 |
| 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% |
536
57.5 IPS |
|
|
Image Classification (F16)
|
100% |
512
54.8 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
763
4.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
732
4.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
679
4.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
300
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
302
1.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
483
16.9 IPS |
|
|
Object Detection (F16)
|
100% |
570
20.0 IPS |
|
|
Object Detection (I8)
|
52% |
445
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
722
8.29 IPS |
|
|
Face Detection (F16)
|
100% |
690
7.93 IPS |
|
|
Face Detection (I8)
|
75% |
501
5.75 IPS |
|
|
Text Classification (F32)
|
100% |
920
364.0 IPS |
|
|
Text Classification (F16)
|
100% |
910
360.0 IPS |
|
|
Machine Translation (F32)
|
100% |
944
145.5 IPS |
|
|
Machine Translation (F16)
|
100% |
911
140.5 IPS |
