samsung SM-S938U1
Geekbench AI Score
2868
Single Precision Score
2862
Half Precision Score
5175
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Qwik |
| Upload Date | February 22 2025 01:22 AM |
| Views | 10 |
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% |
2143
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (Q)
|
100% |
4466
830.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5388
87.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
13524
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1736
138.2 IPS |
|
|
Object Detection (HP)
|
98% |
1747
139.0 IPS |
|
|
Object Detection (Q)
|
83% |
4041
326.4 IPS |
|
|
Face Detection (SP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (Q)
|
95% |
9694
115.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4620
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4618
35.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
10708
98.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11599
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11429
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24589
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2387
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6653
246.5 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1081
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
571
20.3 IPS |
