samsung SM-S938U
Geekbench AI Score
2880
Single Precision Score
2872
Half Precision Score
4661
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ivianson |
| Upload Date | April 29 2025 06:51 AM |
| Views | 14 |
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% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (Q)
|
100% |
4598
855.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5444
88.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5491
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5314
6.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
13604
16.1 IPS |
|
|
Object Detection (SP)
|
98% |
1709
136.0 IPS |
|
|
Object Detection (HP)
|
98% |
1679
133.6 IPS |
|
|
Object Detection (Q)
|
83% |
4046
326.8 IPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
9728
116.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4597
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4586
35.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10690
97.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11572
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11396
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23658
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6457
239.3 IPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
397
535.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
557
19.8 IPS |
