samsung SM-S938U1
Geekbench AI Score
705
Single Precision Score
692
Half Precision Score
1549
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sam09966 |
| Upload Date | June 28 2025 11:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| 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% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
1091
203.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
2825
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
87% |
1112
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
2463
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
878
6.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
884
6.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
2049
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1525
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1524
1.96 IPS |
|
|
Style Transfer (Q)
|
98% |
3992
5.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1745
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.4 IPS |
|
|
Text Classification (HP)
|
100% |
629
839.7 IPS |
|
|
Text Classification (Q)
|
91% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
57% |
608
14.9 IPS |
