samsung SM-S948U1
Geekbench AI Score
693
Single Precision Score
659
Half Precision Score
1487
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 06:57 AM |
| Views | 4 |
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% |
505
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
99% |
1259
234.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
2406
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (Q)
|
87% |
1039
83.3 IPS |
|
|
Face Detection (SP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
2223
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
829
6.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
798
6.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1849
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1313
1.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1284
1.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3515
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1453
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
525
700.7 IPS |
|
|
Text Classification (HP)
|
100% |
525
700.7 IPS |
|
|
Text Classification (Q)
|
91% |
922
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
57% |
706
17.2 IPS |
