samsung SM-S948U1
Geekbench AI Score
780
Single Precision Score
33080
Half Precision Score
82810
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 05:11 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% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
26835
4.99 KIPS |
|
|
Image Classification (Q)
|
96% |
50325
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16917
274.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
65550
1.07 KIPS |
|
|
Pose Estimation (SP)
|
100% |
835
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
158810
185.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
634496
742.6 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
25184
2.00 KIPS |
|
|
Object Detection (Q)
|
85% |
34067
2.74 KIPS |
|
|
Face Detection (SP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
50258
597.2 IPS |
|
|
Face Detection (Q)
|
97% |
180467
2.15 KIPS |
|
|
Depth Estimation (SP)
|
100% |
993
7.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
95357
734.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
208023
1.93 KIPS |
|
|
Style Transfer (SP)
|
100% |
1545
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
101648
130.7 IPS |
|
|
Style Transfer (Q)
|
98% |
594627
766.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58790
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173452
6.43 KIPS |
|
|
Text Classification (SP)
|
100% |
564
752.2 IPS |
|
|
Text Classification (HP)
|
100% |
4428
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
11439
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6816
117.4 IPS |
|
|
Machine Translation (Q)
|
56% |
4802
123.7 IPS |
