Samsung Galaxy S26 Ultra samsung SM-S948B
Geekbench AI Score
2803
Single Precision Score
4385
Half Precision Score
3781
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | ProduktBoost39 |
| Upload Date | March 12 2026 06:16 PM |
| Views | 5 |
| Notes | SM-S948B |
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% |
2104
391.2 IPS |
|
|
Image Classification (HP)
|
100% |
2808
522.1 IPS |
|
|
Image Classification (Q)
|
100% |
3030
563.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3937
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7213
116.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6551
106.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14626
17.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
26324
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24811
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.7 IPS |
|
|
Object Detection (HP)
|
99% |
1641
130.1 IPS |
|
|
Object Detection (Q)
|
85% |
1662
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
4978
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
9818
116.7 IPS |
|
|
Face Detection (Q)
|
97% |
9060
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7640
58.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10389
80.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
8087
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18613
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40455
52.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39109
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3598
132.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4203
155.8 IPS |
|
|
Text Classification (SP)
|
35% |
65
636.4 IPS |
|
|
Text Classification (HP)
|
35% |
106
967.1 IPS |
|
|
Text Classification (Q)
|
33% |
84
941.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (Q)
|
48% |
722
27.7 IPS |
