samsung SM-S948U
Geekbench ML Score
844
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 11 2026 04:50 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S948U |
| Model ID | samsung SM-S948U |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.74 GHz |
| Memory Information | |
|---|---|
| Size | 14.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
827
88.6 IPS |
|
|
Image Classification (F16)
|
100% |
804
86.2 IPS |
|
|
Image Classification (I8)
|
81% |
299
32.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1203
7.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
1131
6.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
2269
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
724
2.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
637
2.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
707
2.86 IPS |
|
|
Object Detection (F32)
|
100% |
621
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
672
23.6 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
1100
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1021
11.7 IPS |
|
|
Face Detection (I8)
|
75% |
1846
21.2 IPS |
|
|
Text Classification (F32)
|
100% |
414
163.7 IPS |
|
|
Text Classification (F16)
|
100% |
384
151.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1599
246.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
248.7 IPS |
