samsung SM-S938U
Geekbench AI Score
2781
Single Precision Score
2820
Half Precision Score
5207
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 07:43 AM |
| Views | 2 |
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% |
1667
310.0 IPS |
|
|
Image Classification (HP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (Q)
|
100% |
4427
823.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5374
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5592
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5381
6.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
13609
16.1 IPS |
|
|
Object Detection (SP)
|
98% |
1708
135.9 IPS |
|
|
Object Detection (HP)
|
98% |
1791
142.5 IPS |
|
|
Object Detection (Q)
|
83% |
4103
331.4 IPS |
|
|
Face Detection (SP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (Q)
|
95% |
9763
116.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4660
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4638
35.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10701
98.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11742
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11568
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24828
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2426
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6765
250.7 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
985
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1072
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
587
20.8 IPS |
