samsung SM-S938U1
Geekbench AI Score
734
Single Precision Score
737
Half Precision Score
1651
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 06:44 AM |
| 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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
99% |
1139
212.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1178
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
788
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
2987
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
87% |
1135
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1031
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
2556
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
924
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
923
7.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
2174
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1589
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
1587
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
4467
5.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1750
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.6 IPS |
|
|
Text Classification (HP)
|
100% |
661
881.8 IPS |
|
|
Text Classification (Q)
|
91% |
1035
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
737
18.0 IPS |
