samsung SM-S938N
Geekbench ML Score
4637
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 26 2025 09:47 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938N |
| Model ID | samsung SM-S938N |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2932
314.2 IPS |
|
|
Image Classification (F16)
|
100% |
6065
649.9 IPS |
|
|
Image Classification (I8)
|
80% |
5617
601.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
9327
57.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
15983
98.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
17099
105.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4300
17.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
7930
32.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
7959
32.2 IPS |
|
|
Object Detection (F32)
|
100% |
1382
48.5 IPS |
|
|
Object Detection (F16)
|
100% |
2286
80.2 IPS |
|
|
Object Detection (I8)
|
54% |
2063
72.4 IPS |
|
|
Face Detection (F32)
|
100% |
5699
65.5 IPS |
|
|
Face Detection (F16)
|
97% |
10897
125.2 IPS |
|
|
Face Detection (I8)
|
76% |
9252
106.3 IPS |
|
|
Text Classification (F32)
|
100% |
2133
843.8 IPS |
|
|
Text Classification (F16)
|
98% |
2565
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1783
274.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1809
278.9 IPS |
