samsung SM-S938U1
Geekbench AI Score
2779
Single Precision Score
2835
Half Precision Score
5165
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | September 26 2025 02:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2164
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (Q)
|
100% |
4526
841.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5556
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5724
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
5357
6.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
13471
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1099
87.4 IPS |
|
|
Object Detection (HP)
|
98% |
1488
118.4 IPS |
|
|
Object Detection (Q)
|
83% |
3998
323.0 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (Q)
|
95% |
9061
108.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4577
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4548
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10440
95.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11657
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11535
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24558
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2425
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6742
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
591
21.0 IPS |
