samsung SM-S938U1
Geekbench AI Score
1336
Single Precision Score
2137
Half Precision Score
2041
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 07:19 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% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.4 IPS |
|
|
Image Classification (Q)
|
99% |
701
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2974
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (Q)
|
86% |
1012
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (Q)
|
97% |
3334
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1675
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4948
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4092
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6243
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
13433
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13340
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2238
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
714
953.1 IPS |
|
|
Text Classification (HP)
|
100% |
717
957.0 IPS |
|
|
Text Classification (Q)
|
91% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
57% |
800
19.5 IPS |
