samsung SM-S948U1
Geekbench AI Score
848
Single Precision Score
33381
Half Precision Score
84027
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 11:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
527
97.9 IPS |
|
|
Image Classification (HP)
|
100% |
26747
4.97 KIPS |
|
|
Image Classification (Q)
|
96% |
50395
9.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16892
273.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
65625
1.07 KIPS |
|
|
Pose Estimation (SP)
|
100% |
856
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
162982
190.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
654662
766.2 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
25728
2.04 KIPS |
|
|
Object Detection (Q)
|
85% |
34988
2.82 KIPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
51531
612.3 IPS |
|
|
Face Detection (Q)
|
97% |
188728
2.25 KIPS |
|
|
Depth Estimation (SP)
|
100% |
1069
8.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
97240
749.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
211315
1.97 KIPS |
|
|
Style Transfer (SP)
|
100% |
1792
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
101786
130.8 IPS |
|
|
Style Transfer (Q)
|
98% |
617062
795.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59394
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173596
6.43 KIPS |
|
|
Text Classification (SP)
|
100% |
743
991.6 IPS |
|
|
Text Classification (HP)
|
100% |
4428
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
11440
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6760
116.4 IPS |
|
|
Machine Translation (Q)
|
56% |
4740
122.1 IPS |
