samsung SM-S948U1
Geekbench AI Score
2838
Single Precision Score
4342
Half Precision Score
3589
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 05:55 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% |
1789
332.6 IPS |
|
|
Image Classification (HP)
|
100% |
2570
477.9 IPS |
|
|
Image Classification (Q)
|
100% |
2437
453.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3769
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6626
107.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6651
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15101
17.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
27154
31.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26026
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (HP)
|
99% |
1575
124.9 IPS |
|
|
Object Detection (Q)
|
85% |
1515
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
8111
96.4 IPS |
|
|
Face Detection (Q)
|
97% |
8714
103.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7718
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10357
80.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7998
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18484
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40152
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40433
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5755
213.3 IPS |
|
|
Text Classification (SP)
|
35% |
93
910.3 IPS |
|
|
Text Classification (HP)
|
35% |
99
898.7 IPS |
|
|
Text Classification (Q)
|
33% |
68
756.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (Q)
|
48% |
504
19.3 IPS |
