samsung SM-S938U1
Geekbench AI Score
1547
Single Precision Score
1554
Half Precision Score
2535
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 07:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1022
190.0 IPS |
|
|
Image Classification (HP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (Q)
|
100% |
2653
493.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2925
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3114
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
8002
9.49 IPS |
|
|
Object Detection (SP)
|
98% |
887
70.6 IPS |
|
|
Object Detection (HP)
|
98% |
873
69.4 IPS |
|
|
Object Detection (Q)
|
83% |
1755
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2765
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
95% |
4955
59.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2358
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2430
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5384
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6618
8.59 IPS |
|
|
Style Transfer (HP)
|
89% |
6606
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
11561
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2997
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
383
511.5 IPS |
|
|
Text Classification (HP)
|
99% |
340
454.2 IPS |
|
|
Text Classification (Q)
|
88% |
411
554.1 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
265
9.42 IPS |
