samsung SM-S938U1
Geekbench AI Score
1314
Single Precision Score
2202
Half Precision Score
2113
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 11:07 PM |
| Views | 3 |
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% |
676
125.7 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (Q)
|
99% |
924
172.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1874
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1711
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2971
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (Q)
|
86% |
1009
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5648
67.1 IPS |
|
|
Face Detection (Q)
|
97% |
3534
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1680
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4947
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4069
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6252
8.04 IPS |
|
|
Style Transfer (HP)
|
100% |
13452
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13367
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2247
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.5 IPS |
|
|
Text Classification (HP)
|
100% |
704
940.3 IPS |
|
|
Text Classification (Q)
|
91% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
57% |
736
18.0 IPS |
