Samsung Galaxy S26+ samsung SM-S947B
Geekbench AI Score
2611
Single Precision Score
3750
Half Precision Score
3442
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 27 2026 01:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S947B |
| Model ID | samsung SM-S947B |
| Motherboard | s5e9965 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.76 GHz |
| Cluster 1 | 6 Cores @ 2.76 GHz |
| Cluster 2 | 3 Cores @ 3.26 GHz |
| Cluster 3 | 1 Core @ 3.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
100% |
2534
471.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2383
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4933
5.76 IPS |
|
|
Pose Estimation (HP)
|
97% |
12387
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10512
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
1776
141.3 IPS |
|
|
Object Detection (HP)
|
99% |
2145
170.6 IPS |
|
|
Object Detection (Q)
|
83% |
2597
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
4168
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
5680
67.5 IPS |
|
|
Face Detection (Q)
|
97% |
4937
58.9 IPS |
|
|
Depth Estimation (SP)
|
98% |
3955
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7032
54.3 IPS |
|
|
Depth Estimation (Q)
|
65% |
6542
59.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8339
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
13452
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13752
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
99% |
4372
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4596
170.3 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (Q)
|
87% |
955
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
52% |
727
22.0 IPS |
