samsung SM-S938U1
Geekbench AI Score
729
Single Precision Score
735
Half Precision Score
1659
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 02:39 AM |
| Views | 6 |
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% |
454
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
99% |
1134
211.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1178
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
784
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (Q)
|
98% |
2995
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
87% |
1135
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2593
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
932
7.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
928
7.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
2171
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1595
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
4344
5.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1804
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
667
889.7 IPS |
|
|
Text Classification (HP)
|
100% |
670
894.5 IPS |
|
|
Text Classification (Q)
|
91% |
1034
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
764
18.7 IPS |
