samsung SM-S938U
Geekbench AI Score
1035
Single Precision Score
1825
Half Precision Score
1603
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 07 2025 04:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
518
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
1150
214.0 IPS |
|
|
Image Classification (Q)
|
99% |
790
147.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1172
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2087
2.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
2062
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
86% |
993
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
2607
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1289
9.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
3505
27.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2862
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4336
5.57 IPS |
|
|
Style Transfer (HP)
|
100% |
9399
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9376
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1592
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
578
771.5 IPS |
|
|
Text Classification (HP)
|
100% |
578
771.5 IPS |
|
|
Text Classification (Q)
|
91% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
57% |
597
14.6 IPS |
