samsung SM-S938B
Geekbench AI Score
2636
Single Precision Score
2635
Half Precision Score
4631
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1659
308.5 IPS |
|
|
Image Classification (HP)
|
100% |
1860
345.8 IPS |
|
|
Image Classification (Q)
|
100% |
4163
774.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5146
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5179
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5268
6.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
12926
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1682
133.8 IPS |
|
|
Object Detection (HP)
|
98% |
1578
125.6 IPS |
|
|
Object Detection (Q)
|
83% |
3665
296.1 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (Q)
|
95% |
9643
115.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4645
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4714
36.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10857
99.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11004
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11452
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23785
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4757
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
660
890.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
573
20.3 IPS |
