samsung SM-S938U1
Geekbench AI Score
2968
Single Precision Score
2972
Half Precision Score
5391
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 12:10 PM |
| Views | 3 |
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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (Q)
|
100% |
4591
853.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5436
88.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5834
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5632
6.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
14196
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1804
143.5 IPS |
|
|
Object Detection (HP)
|
98% |
1794
142.8 IPS |
|
|
Object Detection (Q)
|
83% |
4203
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4667
55.4 IPS |
|
|
Face Detection (Q)
|
95% |
10286
122.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4902
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4783
37.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11078
101.5 IPS |
|
|
Style Transfer (SP)
|
89% |
12295
16.0 IPS |
|
|
Style Transfer (HP)
|
89% |
12076
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26410
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6913
256.2 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1113
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
602
21.4 IPS |
