samsung SM-S938U1
Geekbench AI Score
656
Single Precision Score
646
Half Precision Score
1408
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 02:53 AM |
| Views | 3 |
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% |
450
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
99% |
1109
206.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1136
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
2667
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1001
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
2088
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
766
5.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
810
6.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1863
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1421
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1244
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3265
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1497
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.1 IPS |
|
|
Text Classification (HP)
|
100% |
505
673.9 IPS |
|
|
Text Classification (Q)
|
91% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
57% |
621
15.2 IPS |
