samsung SM-S938U1
Geekbench AI Score
1283
Single Precision Score
2144
Half Precision Score
1989
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 08:23 PM |
| Views | 5 |
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% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
742
138.0 IPS |
|
|
Image Classification (Q)
|
99% |
681
127.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1192
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1721
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2972
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2975
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
1104
87.6 IPS |
|
|
Object Detection (Q)
|
86% |
1080
86.8 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
3703
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1681
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4927
38.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
4067
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6250
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
13434
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13341
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2267
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2239
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
679
905.9 IPS |
|
|
Text Classification (HP)
|
100% |
688
918.8 IPS |
|
|
Text Classification (Q)
|
91% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
57% |
762
18.6 IPS |
