Samsung Galaxy S26 Ultra samsung SM-S948B
Geekbench AI Score
3109
Single Precision Score
4882
Half Precision Score
4176
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 27 2026 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1798
334.4 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (Q)
|
100% |
2632
489.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3736
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6609
107.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7456
121.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15293
17.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
28114
32.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26741
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
2362
187.4 IPS |
|
|
Object Detection (Q)
|
85% |
2207
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
6242
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
11202
133.1 IPS |
|
|
Face Detection (Q)
|
97% |
10006
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7708
59.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10513
81.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7984
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18422
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40040
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39941
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4001
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6702
247.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6437
238.6 IPS |
|
|
Text Classification (SP)
|
35% |
104
1.01 KIPS |
|
|
Text Classification (HP)
|
35% |
107
970.7 IPS |
|
|
Text Classification (Q)
|
33% |
85
949.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (Q)
|
48% |
799
30.6 IPS |
