Samsung Galaxy S26 Ultra samsung SM-S948B
Geekbench AI Score
2925
Single Precision Score
4876
Half Precision Score
7104
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | February 27 2026 10:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
3085
573.7 IPS |
|
|
Image Classification (Q)
|
99% |
5894
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3652
59.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7185
116.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7579
8.84 IPS |
|
|
Pose Estimation (HP)
|
92% |
12136
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14882
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
97% |
2620
208.6 IPS |
|
|
Object Detection (Q)
|
85% |
5255
423.4 IPS |
|
|
Face Detection (SP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7269
86.4 IPS |
|
|
Face Detection (Q)
|
97% |
12498
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9121
70.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
12373
113.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9242
12.0 IPS |
|
|
Style Transfer (HP)
|
88% |
14694
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29542
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2937
108.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5685
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8290
307.2 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1667
2.22 KIPS |
|
|
Text Classification (Q)
|
93% |
1979
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2299
39.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1319
35.4 IPS |
