Samsung Galaxy S26 Ultra samsung SM-S948B
Geekbench AI Score
775
Single Precision Score
32412
Half Precision Score
81993
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 27 2026 10:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S948B |
| Model ID | samsung SM-S948B |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
25858
4.81 KIPS |
|
|
Image Classification (Q)
|
96% |
49453
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16589
268.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
65647
1.07 KIPS |
|
|
Pose Estimation (SP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
157441
183.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
633078
741.0 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
24766
1.96 KIPS |
|
|
Object Detection (Q)
|
85% |
33949
2.73 KIPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
49541
588.7 IPS |
|
|
Face Detection (Q)
|
97% |
174999
2.09 KIPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
93854
723.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
201228
1.87 KIPS |
|
|
Style Transfer (SP)
|
100% |
1517
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
98160
126.2 IPS |
|
|
Style Transfer (Q)
|
98% |
615008
793.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58809
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173553
6.43 KIPS |
|
|
Text Classification (SP)
|
100% |
622
830.4 IPS |
|
|
Text Classification (HP)
|
100% |
4423
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
11342
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6445
111.0 IPS |
|
|
Machine Translation (Q)
|
56% |
4617
118.9 IPS |
