samsung SM-S948U1
Geekbench AI Score
602
Single Precision Score
32600
Half Precision Score
80668
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 03:10 PM |
| 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% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
26695
4.96 KIPS |
|
|
Image Classification (Q)
|
96% |
50423
9.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16929
274.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
65183
1.06 KIPS |
|
|
Pose Estimation (SP)
|
100% |
800
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
159955
186.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
633910
742.0 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
24680
1.96 KIPS |
|
|
Object Detection (Q)
|
85% |
33115
2.67 KIPS |
|
|
Face Detection (SP)
|
100% |
892
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
48613
577.6 IPS |
|
|
Face Detection (Q)
|
97% |
161584
1.93 KIPS |
|
|
Depth Estimation (SP)
|
100% |
707
5.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
96511
743.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
205707
1.91 KIPS |
|
|
Style Transfer (SP)
|
100% |
1198
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
101766
130.8 IPS |
|
|
Style Transfer (Q)
|
98% |
595714
768.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57323
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
172766
6.40 KIPS |
|
|
Text Classification (SP)
|
100% |
369
492.7 IPS |
|
|
Text Classification (HP)
|
100% |
4255
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
11001
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6526
112.4 IPS |
|
|
Machine Translation (Q)
|
56% |
4494
115.8 IPS |
