samsung SM-S938U1
Geekbench AI Score
1243
Single Precision Score
2048
Half Precision Score
1973
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | February 07 2025 11:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
696
129.4 IPS |
|
|
Image Classification (HP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (Q)
|
99% |
994
185.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1443
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1730
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2540
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (HP)
|
100% |
1164
92.4 IPS |
|
|
Object Detection (Q)
|
86% |
1020
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
3425
40.7 IPS |
|
|
Face Detection (Q)
|
97% |
3742
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1560
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4875
37.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3767
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5386
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
11427
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
11083
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1930
71.5 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.4 IPS |
|
|
Text Classification (HP)
|
100% |
673
898.8 IPS |
|
|
Text Classification (Q)
|
91% |
1071
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
57% |
745
18.2 IPS |
