samsung SM-S948U1
Geekbench AI Score
391
Single Precision Score
30866
Half Precision Score
74676
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 03:26 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% |
515
95.9 IPS |
|
|
Image Classification (HP)
|
100% |
26332
4.90 KIPS |
|
|
Image Classification (Q)
|
96% |
49723
9.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
16419
266.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
62620
1.02 KIPS |
|
|
Pose Estimation (SP)
|
100% |
580
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
161490
188.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
621102
727.0 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
22208
1.76 KIPS |
|
|
Object Detection (Q)
|
85% |
28551
2.30 KIPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
43675
519.0 IPS |
|
|
Face Detection (Q)
|
97% |
126907
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
404
3.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
92309
711.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
190782
1.77 KIPS |
|
|
Style Transfer (SP)
|
100% |
726
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
97333
125.1 IPS |
|
|
Style Transfer (Q)
|
98% |
582922
751.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53466
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
164115
6.08 KIPS |
|
|
Text Classification (SP)
|
100% |
248
330.7 IPS |
|
|
Text Classification (HP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
10530
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (HP)
|
100% |
5795
99.8 IPS |
|
|
Machine Translation (Q)
|
56% |
4005
103.2 IPS |
