samsung SM-S948U1
Geekbench AI Score
772
Single Precision Score
759
Half Precision Score
1716
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 04:52 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% |
510
94.8 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
1257
234.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
841
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (Q)
|
98% |
2931
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (Q)
|
87% |
1135
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
2708
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
984
7.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
933
7.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
2145
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1596
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1516
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4177
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1695
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
570
761.0 IPS |
|
|
Text Classification (HP)
|
100% |
614
820.0 IPS |
|
|
Text Classification (Q)
|
91% |
1264
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
57% |
804
19.7 IPS |
