samsung SM-S938U1
Geekbench AI Score
717
Single Precision Score
704
Half Precision Score
1557
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 04:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
455
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
1136
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
2909
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.4 IPS |
|
|
Object Detection (Q)
|
87% |
1134
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2553
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
922
7.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1981
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1593
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
4542
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1498
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.6 IPS |
|
|
Text Classification (HP)
|
100% |
539
719.6 IPS |
|
|
Text Classification (Q)
|
91% |
718
964.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
778
19.0 IPS |
