samsung SM-S938B
Geekbench AI Score
647
Single Precision Score
644
Half Precision Score
1415
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 03:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
1087
202.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1125
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
2528
2.96 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
87% |
995
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
2092
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
827
6.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1852
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1420
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1236
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
3581
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1401
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
504
672.6 IPS |
|
|
Text Classification (HP)
|
100% |
540
720.2 IPS |
|
|
Text Classification (Q)
|
91% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
652
15.9 IPS |
