samsung SM-S948U1
Geekbench AI Score
3045
Single Precision Score
4454
Half Precision Score
3765
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 06:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1765
328.2 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.5 IPS |
|
|
Image Classification (Q)
|
100% |
2480
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3777
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6708
108.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6691
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14957
17.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
26901
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26669
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
99% |
2165
171.7 IPS |
|
|
Object Detection (Q)
|
85% |
2133
171.7 IPS |
|
|
Face Detection (SP)
|
100% |
5917
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
9494
112.8 IPS |
|
|
Face Detection (Q)
|
97% |
8630
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7736
59.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10346
80.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
8005
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18510
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40422
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39608
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5636
208.9 IPS |
|
|
Text Classification (SP)
|
35% |
94
915.0 IPS |
|
|
Text Classification (HP)
|
35% |
100
910.6 IPS |
|
|
Text Classification (Q)
|
33% |
73
817.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
48% |
539
20.7 IPS |
