samsung SM-S948U1
Geekbench AI Score
2979
Single Precision Score
4978
Half Precision Score
7168
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 02:32 PM |
| Views | 3 |
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% |
1636
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
2856
531.2 IPS |
|
|
Image Classification (Q)
|
99% |
5877
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7227
117.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7735
9.03 IPS |
|
|
Pose Estimation (HP)
|
92% |
12398
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
15347
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2696
214.6 IPS |
|
|
Object Detection (Q)
|
85% |
5463
440.1 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7407
88.0 IPS |
|
|
Face Detection (Q)
|
97% |
12089
144.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9966
77.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
12004
110.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9197
11.9 IPS |
|
|
Style Transfer (HP)
|
88% |
14959
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29863
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5380
200.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8276
306.7 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1895
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2370
41.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1480
39.7 IPS |
