samsung SM-S948U1
Geekbench AI Score
720
Single Precision Score
703
Half Precision Score
1557
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 04:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S948U1 |
| Model ID | samsung SM-S948U1 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (HP)
|
100% |
505
94.0 IPS |
|
|
Image Classification (Q)
|
99% |
1259
234.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1255
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2643
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
87% |
1016
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2420
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
873
6.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
865
6.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
1988
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1362
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1361
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
3763
4.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1579
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
570
760.8 IPS |
|
|
Text Classification (HP)
|
100% |
571
761.7 IPS |
|
|
Text Classification (Q)
|
91% |
922
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (Q)
|
57% |
749
18.3 IPS |
