samsung SM-S938B
Geekbench AI Score
1189
Single Precision Score
1981
Half Precision Score
1936
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sipos |
| Upload Date | March 12 2025 12:09 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
656
122.0 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (Q)
|
99% |
872
162.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1762
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2452
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
2446
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (Q)
|
86% |
1136
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (Q)
|
97% |
3163
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1453
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4104
31.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3374
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5099
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
10951
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10825
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1915
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
676
902.5 IPS |
|
|
Text Classification (HP)
|
100% |
692
924.3 IPS |
|
|
Text Classification (Q)
|
91% |
1110
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
706
17.3 IPS |
