Samsung Galaxy S26 Ultra samsung SM-S948B
Geekbench AI Score
2813
Single Precision Score
4449
Half Precision Score
6566
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | ProduktBoost39 |
| Upload Date | March 12 2026 06:13 PM |
| Views | 4 |
| Notes | SM-S948B |
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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
2889
537.2 IPS |
|
|
Image Classification (Q)
|
99% |
5405
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3313
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6693
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6872
8.02 IPS |
|
|
Pose Estimation (HP)
|
92% |
11088
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14024
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
2412
192.0 IPS |
|
|
Object Detection (Q)
|
85% |
5233
421.6 IPS |
|
|
Face Detection (SP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7077
84.1 IPS |
|
|
Face Detection (Q)
|
97% |
12183
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5385
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8633
66.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
12332
113.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8847
11.5 IPS |
|
|
Style Transfer (HP)
|
88% |
13508
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25903
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5530
205.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8152
302.1 IPS |
|
|
Text Classification (SP)
|
100% |
1235
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (Q)
|
93% |
1755
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1809
31.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1009
27.1 IPS |
