samsung SM-S938U1
Geekbench AI Score
3008
Single Precision Score
3021
Half Precision Score
5046
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 03:09 PM |
| Views | 2 |
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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
2154
400.6 IPS |
|
|
Image Classification (Q)
|
100% |
2262
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2594
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5399
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5974
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5802
6.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
14653
17.4 IPS |
|
|
Object Detection (SP)
|
98% |
1830
145.6 IPS |
|
|
Object Detection (HP)
|
98% |
1830
145.6 IPS |
|
|
Object Detection (Q)
|
83% |
4336
350.2 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (Q)
|
95% |
10381
123.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4940
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4964
38.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
11349
103.9 IPS |
|
|
Style Transfer (SP)
|
89% |
12314
16.0 IPS |
|
|
Style Transfer (HP)
|
89% |
12242
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25855
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2574
95.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2551
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7023
260.2 IPS |
|
|
Text Classification (SP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1045
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1124
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
