samsung SM-S938U1
Geekbench AI Score
753
Single Precision Score
754
Half Precision Score
1714
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
99% |
1156
215.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1219
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
778
0.91 IPS |
|
|
Pose Estimation (Q)
|
98% |
3062
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (Q)
|
87% |
1176
94.3 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
2614
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
957
7.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
947
7.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
2267
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1599
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
4494
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1867
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
687
917.1 IPS |
|
|
Text Classification (HP)
|
100% |
702
937.5 IPS |
|
|
Text Classification (Q)
|
91% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
57% |
779
19.0 IPS |
