samsung SM-S938U1
Geekbench AI Score
1341
Single Precision Score
2199
Half Precision Score
2172
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% |
720
133.9 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.4 IPS |
|
|
Image Classification (Q)
|
99% |
795
148.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1753
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1720
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2976
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (Q)
|
86% |
1077
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
5211
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1677
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4950
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4068
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6303
8.10 IPS |
|
|
Style Transfer (HP)
|
100% |
13492
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13414
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2251
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.1 IPS |
|
|
Text Classification (HP)
|
100% |
689
920.3 IPS |
|
|
Text Classification (Q)
|
91% |
1100
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
57% |
746
18.2 IPS |
