samsung SM-S938B
Geekbench AI Score
1251
Single Precision Score
2071
Half Precision Score
1988
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 08:05 PM |
| Views | 1 |
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% |
721
134.1 IPS |
|
|
Image Classification (HP)
|
100% |
730
135.8 IPS |
|
|
Image Classification (Q)
|
99% |
699
130.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2000
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1711
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
2801
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (Q)
|
86% |
1140
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (Q)
|
97% |
4043
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1519
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4389
33.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3625
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5445
7.00 IPS |
|
|
Style Transfer (HP)
|
100% |
11407
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11143
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1907
70.6 IPS |
|
|
Text Classification (SP)
|
100% |
689
919.2 IPS |
|
|
Text Classification (HP)
|
100% |
687
916.4 IPS |
|
|
Text Classification (Q)
|
91% |
1071
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
57% |
649
15.9 IPS |
