samsung SM-S938U1
Geekbench AI Score
3000
Single Precision Score
2991
Half Precision Score
5423
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 04:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
100% |
4682
870.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2637
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5512
89.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5967
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
5807
6.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
14707
17.4 IPS |
|
|
Object Detection (SP)
|
98% |
1817
144.6 IPS |
|
|
Object Detection (HP)
|
98% |
1855
147.6 IPS |
|
|
Object Detection (Q)
|
83% |
4272
345.1 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (Q)
|
95% |
10376
123.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4996
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4793
37.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10959
100.4 IPS |
|
|
Style Transfer (SP)
|
89% |
12124
15.7 IPS |
|
|
Style Transfer (HP)
|
89% |
12128
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27217
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7091
262.8 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1066
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
581
20.6 IPS |
