samsung SM-S948B
Geekbench AI Score
725
Single Precision Score
32828
Half Precision Score
82289
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | laidbackdev |
| Upload Date | March 10 2026 08:09 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 14.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
26465
4.92 KIPS |
|
|
Image Classification (Q)
|
96% |
50402
9.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16804
272.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
65263
1.06 KIPS |
|
|
Pose Estimation (SP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
154381
180.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
631812
739.5 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
24816
1.97 KIPS |
|
|
Object Detection (Q)
|
85% |
33029
2.66 KIPS |
|
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
49615
589.5 IPS |
|
|
Face Detection (Q)
|
97% |
173228
2.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
890
6.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
97179
748.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
205262
1.91 KIPS |
|
|
Style Transfer (SP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
101798
130.9 IPS |
|
|
Style Transfer (Q)
|
98% |
616451
794.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58258
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173555
6.43 KIPS |
|
|
Text Classification (SP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (HP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
11364
15.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6748
116.2 IPS |
|
|
Machine Translation (Q)
|
56% |
4798
123.6 IPS |
