samsung SM-S948B
Geekbench AI Score
649
Single Precision Score
621
Half Precision Score
1397
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 04 2026 09:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
1224
228.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1235
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
800
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
618
0.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
2418
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
87% |
931
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
2224
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
805
6.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
749
5.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1710
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1300
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1227
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3290
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1338
49.6 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.8 IPS |
|
|
Text Classification (HP)
|
100% |
483
645.0 IPS |
|
|
Text Classification (Q)
|
91% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
57% |
587
14.3 IPS |
