samsung SM-S938B
Geekbench AI Score
1310
Single Precision Score
2008
Half Precision Score
1884
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 01:17 AM |
| 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% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
99% |
607
113.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1702
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
2578
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
86% |
1073
86.2 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (Q)
|
97% |
3294
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1669
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4879
37.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
4049
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6091
7.83 IPS |
|
|
Style Transfer (HP)
|
100% |
13304
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11765
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2140
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
678
904.5 IPS |
|
|
Text Classification (HP)
|
100% |
683
911.1 IPS |
|
|
Text Classification (Q)
|
91% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
760
18.6 IPS |
