samsung SM-S948U1
Geekbench AI Score
2860
Single Precision Score
4721
Half Precision Score
6846
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 03:17 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% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
2998
557.5 IPS |
|
|
Image Classification (Q)
|
99% |
5523
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3753
60.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7091
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7430
8.67 IPS |
|
|
Pose Estimation (HP)
|
92% |
11974
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14913
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2502
199.2 IPS |
|
|
Object Detection (Q)
|
85% |
5048
406.6 IPS |
|
|
Face Detection (SP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7381
87.7 IPS |
|
|
Face Detection (Q)
|
97% |
12829
153.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9501
73.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
12963
119.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9326
12.1 IPS |
|
|
Style Transfer (HP)
|
88% |
15135
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30403
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5046
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7497
277.8 IPS |
|
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (Q)
|
93% |
1466
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2162
37.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1381
37.1 IPS |
