samsung SM-S938U1
Geekbench ML Score
715
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Wsuone |
| Upload Date | February 03 2025 08:33 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
634
67.9 IPS |
|
|
Image Classification (F16)
|
100% |
626
67.1 IPS |
|
|
Image Classification (I8)
|
81% |
1389
148.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
5.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
779
4.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
1777
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
565
2.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
561
2.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
653
2.64 IPS |
|
|
Object Detection (F32)
|
100% |
564
19.8 IPS |
|
|
Object Detection (F16)
|
100% |
561
19.7 IPS |
|
|
Object Detection (I8)
|
52% |
591
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
763
8.77 IPS |
|
|
Face Detection (F16)
|
100% |
793
9.11 IPS |
|
|
Face Detection (I8)
|
75% |
1386
15.9 IPS |
|
|
Text Classification (F32)
|
100% |
325
128.5 IPS |
|
|
Text Classification (F16)
|
100% |
298
117.8 IPS |
|
|
Machine Translation (F32)
|
100% |
915
141.1 IPS |
|
|
Machine Translation (F16)
|
100% |
944
145.5 IPS |
