samsung SM-S938B
Geekbench AI Score
520
Single Precision Score
518
Half Precision Score
1137
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 21 2025 05:38 PM |
| 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% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
99% |
872
162.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
903
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1823
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
87% |
810
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
787
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
97% |
1964
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
735
5.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
653
5.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1221
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1135
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1007
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2624
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1289
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.4 IPS |
|
|
Text Classification (HP)
|
100% |
467
622.7 IPS |
|
|
Text Classification (Q)
|
91% |
718
965.4 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
57% |
536
13.1 IPS |
