samsung SM-S948U1
Geekbench AI Score
821
Single Precision Score
821
Half Precision Score
1872
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | cheztino |
| Upload Date | March 19 2026 05:01 AM |
| Views | 6 |
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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
510
94.9 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
99% |
1280
238.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1284
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (Q)
|
98% |
3283
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
87% |
1326
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
3086
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
2499
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1735
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1714
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
4723
6.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1928
71.5 IPS |
|
|
Text Classification (SP)
|
100% |
714
953.6 IPS |
|
|
Text Classification (HP)
|
100% |
738
984.5 IPS |
|
|
Text Classification (Q)
|
91% |
1250
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
57% |
846
20.7 IPS |
