samsung SM-S938U
Geekbench AI Score
2899
Single Precision Score
2911
Half Precision Score
5181
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 17 2025 06:03 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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
2129
396.0 IPS |
|
|
Image Classification (Q)
|
100% |
4453
828.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2597
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5451
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5662
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5548
6.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
13151
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1704
135.6 IPS |
|
|
Object Detection (HP)
|
98% |
1776
141.3 IPS |
|
|
Object Detection (Q)
|
83% |
4038
326.2 IPS |
|
|
Face Detection (SP)
|
100% |
4554
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (Q)
|
95% |
10005
119.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4694
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4689
36.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10665
97.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11712
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11446
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25593
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2460
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6664
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1053
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
