samsung SM-S948U1
Geekbench AI Score
2968
Single Precision Score
4913
Half Precision Score
7038
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 02:40 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% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
3006
559.0 IPS |
|
|
Image Classification (Q)
|
99% |
5888
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6992
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7860
9.17 IPS |
|
|
Pose Estimation (HP)
|
92% |
12392
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
15395
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
97% |
2670
212.5 IPS |
|
|
Object Detection (Q)
|
85% |
5479
441.4 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7585
90.1 IPS |
|
|
Face Detection (Q)
|
97% |
12478
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9814
75.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
13082
120.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9443
12.3 IPS |
|
|
Style Transfer (HP)
|
88% |
15207
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28911
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2841
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5734
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8139
301.6 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (Q)
|
93% |
1618
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1791
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2365
40.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1382
37.1 IPS |
