samsung SM-S948B
Geekbench AI Score
2831
Single Precision Score
4704
Half Precision Score
6789
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Higgins121 |
| Upload Date | March 21 2026 05:35 PM |
| Views | 5 |
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% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (Q)
|
99% |
5563
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3569
57.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6726
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7563
8.82 IPS |
|
|
Pose Estimation (HP)
|
92% |
11751
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14314
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2614
208.1 IPS |
|
|
Object Detection (Q)
|
85% |
5259
423.7 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
6938
82.4 IPS |
|
|
Face Detection (Q)
|
97% |
12182
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5437
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8696
67.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
12413
113.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9094
11.8 IPS |
|
|
Style Transfer (HP)
|
88% |
13891
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28269
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5536
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7865
291.4 IPS |
|
|
Text Classification (SP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1941
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2185
37.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1132
30.4 IPS |
