samsung SM-S938B
Geekbench AI Score
976
Single Precision Score
951
Half Precision Score
1868
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 06:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
100% |
1420
264.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1618
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2082
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2036
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3237
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1161
93.7 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
3093
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1725
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3028
27.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3433
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3456
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
7557
9.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
995
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1874
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
533
712.0 IPS |
|
|
Text Classification (HP)
|
100% |
527
703.3 IPS |
|
|
Text Classification (Q)
|
88% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
489
17.4 IPS |
