samsung SM-S938U1
Geekbench AI Score
707
Single Precision Score
709
Half Precision Score
1567
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 11:22 PM |
| Views | 7 |
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% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
1131
211.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
2990
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (Q)
|
87% |
1022
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
2591
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
938
7.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1897
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1602
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1498
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
4362
5.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1600
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.3 IPS |
|
|
Text Classification (HP)
|
100% |
540
720.6 IPS |
|
|
Text Classification (Q)
|
91% |
831
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
57% |
780
19.1 IPS |
