samsung SM-S938U1
Geekbench AI Score
1325
Single Precision Score
2155
Half Precision Score
2024
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 05:46 PM |
| Views | 2 |
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% |
699
129.9 IPS |
|
|
Image Classification (HP)
|
100% |
1131
210.4 IPS |
|
|
Image Classification (Q)
|
99% |
961
179.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1201
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1722
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2985
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
1010
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
3266
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1691
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4950
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4072
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6272
8.06 IPS |
|
|
Style Transfer (HP)
|
100% |
13407
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13362
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2243
83.1 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.1 IPS |
|
|
Text Classification (HP)
|
100% |
697
930.7 IPS |
|
|
Text Classification (Q)
|
91% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
57% |
753
18.4 IPS |
