Samsung Galaxy S26 Ultra samsung SM-S948B
Geekbench AI Score
729
Single Precision Score
695
Half Precision Score
1592
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 27 2026 09:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
503
93.6 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.0 IPS |
|
|
Image Classification (Q)
|
99% |
1243
231.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1240
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
2632
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
87% |
1047
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2417
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
893
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
825
6.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1809
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1475
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1374
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
3767
4.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1579
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
570
760.8 IPS |
|
|
Text Classification (HP)
|
100% |
571
761.6 IPS |
|
|
Text Classification (Q)
|
91% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
57% |
760
18.6 IPS |
