samsung SM-S948U1
Geekbench AI Score
569
Single Precision Score
32479
Half Precision Score
80471
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 04:51 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% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
26740
4.97 KIPS |
|
|
Image Classification (Q)
|
96% |
50397
9.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16882
273.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
64781
1.05 KIPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
161700
188.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
632509
740.3 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
24378
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
32277
2.60 KIPS |
|
|
Face Detection (SP)
|
100% |
831
9.87 IPS |
|
|
Face Detection (HP)
|
100% |
48646
578.0 IPS |
|
|
Face Detection (Q)
|
97% |
157093
1.87 KIPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
94210
725.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
201364
1.87 KIPS |
|
|
Style Transfer (SP)
|
100% |
1084
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
101446
130.4 IPS |
|
|
Style Transfer (Q)
|
98% |
613588
791.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57040
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
172490
6.39 KIPS |
|
|
Text Classification (SP)
|
100% |
328
437.6 IPS |
|
|
Text Classification (HP)
|
100% |
4246
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
11235
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6520
112.3 IPS |
|
|
Machine Translation (Q)
|
56% |
4542
117.0 IPS |
