samsung SM-S948U1
Geekbench AI Score
2929
Single Precision Score
4881
Half Precision Score
7045
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 06:44 AM |
| 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% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
3036
564.7 IPS |
|
|
Image Classification (Q)
|
99% |
5906
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3777
61.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7244
117.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7653
8.93 IPS |
|
|
Pose Estimation (HP)
|
92% |
12424
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
15521
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2651
211.0 IPS |
|
|
Object Detection (Q)
|
85% |
5329
429.3 IPS |
|
|
Face Detection (SP)
|
100% |
4061
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
7729
91.8 IPS |
|
|
Face Detection (Q)
|
97% |
12643
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9598
74.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
12979
119.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9453
12.3 IPS |
|
|
Style Transfer (HP)
|
88% |
15358
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30712
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2759
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5186
192.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7499
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (Q)
|
93% |
1561
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2358
40.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1443
38.8 IPS |
