samsung SM-S948B
Geekbench AI Score
671
Single Precision Score
32295
Half Precision Score
80921
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | dad |
| Upload Date | March 03 2026 08:19 PM |
| Views | 11 |
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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (HP)
|
100% |
25650
4.77 KIPS |
|
|
Image Classification (Q)
|
96% |
48621
9.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16585
268.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
64536
1.05 KIPS |
|
|
Pose Estimation (SP)
|
100% |
806
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
158456
184.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
633670
741.7 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
24201
1.92 KIPS |
|
|
Object Detection (Q)
|
85% |
32726
2.63 KIPS |
|
|
Face Detection (SP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
48537
576.7 IPS |
|
|
Face Detection (Q)
|
97% |
164443
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
804
6.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
93252
718.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
200841
1.87 KIPS |
|
|
Style Transfer (SP)
|
100% |
1289
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
101608
130.6 IPS |
|
|
Style Transfer (Q)
|
98% |
614998
793.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57461
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173124
6.42 KIPS |
|
|
Text Classification (SP)
|
100% |
501
668.3 IPS |
|
|
Text Classification (HP)
|
100% |
4406
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
11373
15.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6499
111.9 IPS |
|
|
Machine Translation (Q)
|
56% |
4627
119.2 IPS |
