samsung SM-S938U
Geekbench AI Score
2721
Single Precision Score
2730
Half Precision Score
4914
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 10:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U |
| Model ID | samsung SM-S938U |
| 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% |
1925
358.0 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
100% |
4021
747.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5268
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5372
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5159
6.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
13460
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (HP)
|
98% |
1665
132.5 IPS |
|
|
Object Detection (Q)
|
83% |
3743
302.4 IPS |
|
|
Face Detection (SP)
|
100% |
4228
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (Q)
|
95% |
9300
111.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4326
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4322
33.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10164
93.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10946
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11388
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23991
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6414
237.7 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
1008
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
525
18.6 IPS |
