samsung SM-S938U
Geekbench AI Score
2302
Single Precision Score
2381
Half Precision Score
3881
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Vwgtiron |
| Upload Date | June 23 2025 11:36 PM |
| Views | 9 |
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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (Q)
|
100% |
4353
809.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4671
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4921
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3920
4.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
8770
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1082
86.1 IPS |
|
|
Object Detection (HP)
|
98% |
1103
87.7 IPS |
|
|
Object Detection (Q)
|
83% |
2830
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (Q)
|
95% |
7339
87.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3983
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4504
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9516
87.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10332
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11494
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17570
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3441
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.0 IPS |
|
|
Text Classification (HP)
|
99% |
712
950.7 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
548
19.5 IPS |
