samsung SM-S948U1
Geekbench AI Score
2879
Single Precision Score
4737
Half Precision Score
6799
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 03:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1615
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
3052
567.6 IPS |
|
|
Image Classification (Q)
|
99% |
5873
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7184
116.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7814
9.12 IPS |
|
|
Pose Estimation (HP)
|
92% |
12346
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15027
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2701
215.1 IPS |
|
|
Object Detection (Q)
|
85% |
5474
441.0 IPS |
|
|
Face Detection (SP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7503
89.2 IPS |
|
|
Face Detection (Q)
|
97% |
12836
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9833
76.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
13063
119.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9434
12.2 IPS |
|
|
Style Transfer (HP)
|
88% |
14903
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30526
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4489
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6534
242.1 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (Q)
|
93% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2225
38.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1328
35.7 IPS |
