samsung SM-S948N
Geekbench AI Score
833
Single Precision Score
32605
Half Precision Score
82730
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Edward2048 |
| Upload Date | March 12 2026 08:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S948N |
| Model ID | samsung SM-S948N |
| 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% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
25614
4.76 KIPS |
|
|
Image Classification (Q)
|
96% |
48419
9.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16536
268.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
64488
1.05 KIPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
159434
186.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
653082
764.4 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (HP)
|
100% |
24901
1.98 KIPS |
|
|
Object Detection (Q)
|
85% |
34030
2.74 KIPS |
|
|
Face Detection (SP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
50117
595.5 IPS |
|
|
Face Detection (Q)
|
97% |
185229
2.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
1055
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
93907
723.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
206656
1.92 KIPS |
|
|
Style Transfer (SP)
|
100% |
1740
2.24 IPS |
|
|
Style Transfer (HP)
|
100% |
101545
130.5 IPS |
|
|
Style Transfer (Q)
|
98% |
616377
794.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59396
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173203
6.42 KIPS |
|
|
Text Classification (SP)
|
100% |
737
984.3 IPS |
|
|
Text Classification (HP)
|
100% |
4439
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
11334
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6410
110.4 IPS |
|
|
Machine Translation (Q)
|
56% |
4673
120.4 IPS |
