samsung SM-S948U1
Geekbench AI Score
2220
Single Precision Score
3708
Half Precision Score
5248
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 04:43 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% |
1626
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
2889
537.3 IPS |
|
|
Image Classification (Q)
|
99% |
5735
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6849
111.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7557
8.82 IPS |
|
|
Pose Estimation (HP)
|
92% |
10520
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11102
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (HP)
|
97% |
1647
131.1 IPS |
|
|
Object Detection (Q)
|
85% |
3230
260.2 IPS |
|
|
Face Detection (SP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4636
55.1 IPS |
|
|
Face Detection (Q)
|
97% |
6783
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3440
26.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6369
49.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8760
80.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6667
8.65 IPS |
|
|
Style Transfer (HP)
|
88% |
10085
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21613
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3843
142.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5849
216.7 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1956
33.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1210
32.5 IPS |
