samsung SM-S948U1
Geekbench AI Score
2702
Single Precision Score
4487
Half Precision Score
6306
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 05:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
3097
575.9 IPS |
|
|
Image Classification (Q)
|
99% |
5735
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6982
113.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7658
8.94 IPS |
|
|
Pose Estimation (HP)
|
92% |
12199
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
15461
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2649
210.9 IPS |
|
|
Object Detection (Q)
|
85% |
5232
421.5 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6902
82.0 IPS |
|
|
Face Detection (Q)
|
97% |
10978
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4943
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8670
67.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11576
106.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8568
11.1 IPS |
|
|
Style Transfer (HP)
|
88% |
12941
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27477
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2360
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4507
167.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6552
242.8 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (Q)
|
93% |
1212
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1972
34.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1108
29.8 IPS |
