samsung SM-S948U1
Geekbench AI Score
2992
Single Precision Score
4955
Half Precision Score
7255
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 08:21 AM |
| 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% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
3012
560.1 IPS |
|
|
Image Classification (Q)
|
99% |
5886
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3747
60.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7241
117.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7879
9.19 IPS |
|
|
Pose Estimation (HP)
|
92% |
12339
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15753
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2580
205.4 IPS |
|
|
Object Detection (Q)
|
85% |
5437
438.0 IPS |
|
|
Face Detection (SP)
|
100% |
4315
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7380
87.7 IPS |
|
|
Face Detection (Q)
|
97% |
12712
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5521
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9719
75.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
12969
119.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9237
12.0 IPS |
|
|
Style Transfer (HP)
|
88% |
15171
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30137
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2962
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5768
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8589
318.2 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1704
2.27 KIPS |
|
|
Text Classification (Q)
|
93% |
1841
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2326
40.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1409
37.9 IPS |
