samsung SM-S948U1
Geekbench AI Score
2756
Single Precision Score
4618
Half Precision Score
6495
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 04:53 PM |
| Views | 4 |
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% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.4 IPS |
|
|
Image Classification (Q)
|
99% |
5836
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6873
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7378
8.61 IPS |
|
|
Pose Estimation (HP)
|
92% |
11957
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15425
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
2652
211.1 IPS |
|
|
Object Detection (Q)
|
85% |
4858
391.4 IPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
97% |
11579
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5478
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9982
77.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
12329
113.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8521
11.1 IPS |
|
|
Style Transfer (HP)
|
88% |
14403
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27659
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2360
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4518
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6524
241.8 IPS |
|
|
Text Classification (SP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2128
36.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1308
35.1 IPS |
