samsung SM-S938U
Geekbench AI Score
2903
Single Precision Score
2908
Half Precision Score
5285
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sam09966 |
| Upload Date | May 05 2025 09:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (Q)
|
100% |
4488
834.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5534
90.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5665
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5488
6.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
13491
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1787
142.2 IPS |
|
|
Object Detection (HP)
|
98% |
1747
139.0 IPS |
|
|
Object Detection (Q)
|
83% |
4073
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (Q)
|
95% |
9988
119.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4789
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4794
37.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11053
101.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11894
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11805
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26382
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6803
252.1 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
