samsung SM-S938U1
Geekbench AI Score
717
Single Precision Score
714
Half Precision Score
1560
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 07:10 AM |
| Views | 6 |
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% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (Q)
|
99% |
1112
207.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
2904
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
87% |
1096
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
2428
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
919
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
2003
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1501
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
4357
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1602
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.9 IPS |
|
|
Text Classification (HP)
|
100% |
631
842.2 IPS |
|
|
Text Classification (Q)
|
91% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
57% |
638
15.6 IPS |
