samsung SM-S948U1
Geekbench AI Score
752
Single Precision Score
731
Half Precision Score
1635
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 07:21 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% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
99% |
1288
240.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1270
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
2744
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1146
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2595
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
952
7.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
884
6.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
2022
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1443
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1426
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4157
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1578
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
611
815.8 IPS |
|
|
Text Classification (HP)
|
100% |
612
817.0 IPS |
|
|
Text Classification (Q)
|
91% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (Q)
|
57% |
780
19.1 IPS |
