samsung SM-S948U1
Geekbench AI Score
479
Single Precision Score
32021
Half Precision Score
77209
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 03:18 PM |
| Views | 5 |
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% |
508
94.5 IPS |
|
|
Image Classification (HP)
|
100% |
26634
4.95 KIPS |
|
|
Image Classification (Q)
|
96% |
50251
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16879
273.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
65464
1.06 KIPS |
|
|
Pose Estimation (SP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
161785
188.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
631559
739.2 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
24139
1.91 KIPS |
|
|
Object Detection (Q)
|
85% |
31169
2.51 KIPS |
|
|
Face Detection (SP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (HP)
|
100% |
47250
561.4 IPS |
|
|
Face Detection (Q)
|
97% |
148641
1.77 KIPS |
|
|
Depth Estimation (SP)
|
100% |
534
4.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
93430
719.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
194589
1.81 KIPS |
|
|
Style Transfer (SP)
|
100% |
848
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
101224
130.1 IPS |
|
|
Style Transfer (Q)
|
98% |
583084
751.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
236
8.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55930
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
164858
6.11 KIPS |
|
|
Text Classification (SP)
|
100% |
270
360.4 IPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
10069
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
505
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
6173
106.3 IPS |
|
|
Machine Translation (Q)
|
56% |
4153
107.0 IPS |
