samsung SM-S938U
Geekbench AI Score
2663
Single Precision Score
2811
Half Precision Score
4973
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Vwgtiron |
| Upload Date | June 23 2025 10:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S938U |
| Model ID | samsung SM-S938U |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1655
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (Q)
|
100% |
4274
794.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5110
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5552
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5093
5.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
13913
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1670
132.9 IPS |
|
|
Object Detection (HP)
|
98% |
1830
145.7 IPS |
|
|
Object Detection (Q)
|
83% |
4057
327.7 IPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4361
51.8 IPS |
|
|
Face Detection (Q)
|
95% |
9957
118.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4777
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4877
37.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10913
100.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11470
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11799
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24342
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5162
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.1 IPS |
|
|
Text Classification (HP)
|
99% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1059
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
520
18.5 IPS |
