samsung SM-S938U1
Geekbench AI Score
1302
Single Precision Score
2109
Half Precision Score
2041
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 05:06 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% |
720
133.9 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (Q)
|
99% |
636
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1573
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1729
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2990
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
1077
85.4 IPS |
|
|
Object Detection (Q)
|
86% |
1071
86.0 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (Q)
|
97% |
3722
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1674
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4947
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4084
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6267
8.06 IPS |
|
|
Style Transfer (HP)
|
100% |
13452
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13341
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2249
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
689
920.0 IPS |
|
|
Text Classification (HP)
|
100% |
694
926.4 IPS |
|
|
Text Classification (Q)
|
91% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
57% |
772
18.9 IPS |
