samsung SM-S938U1
Geekbench AI Score
1281
Single Precision Score
2189
Half Precision Score
2202
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 08:34 PM |
| Views | 4 |
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% |
713
132.6 IPS |
|
|
Image Classification (HP)
|
100% |
961
178.7 IPS |
|
|
Image Classification (Q)
|
99% |
1059
197.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2856
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1708
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2954
3.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
2955
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (Q)
|
86% |
1117
89.7 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (Q)
|
97% |
3735
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1615
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4958
38.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
4107
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5843
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
12415
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
11428
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1851
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
686
915.3 IPS |
|
|
Text Classification (HP)
|
100% |
688
917.7 IPS |
|
|
Text Classification (Q)
|
91% |
1092
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
57% |
759
18.6 IPS |
