samsung SM-S938U1
Geekbench AI Score
3016
Single Precision Score
3007
Half Precision Score
5474
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 06:26 AM |
| 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% |
2033
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
2081
387.1 IPS |
|
|
Image Classification (Q)
|
100% |
4648
864.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5649
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6019
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5889
6.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
14430
17.1 IPS |
|
|
Object Detection (SP)
|
98% |
1807
143.8 IPS |
|
|
Object Detection (HP)
|
98% |
1855
147.6 IPS |
|
|
Object Detection (Q)
|
83% |
4302
347.5 IPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (Q)
|
95% |
10293
122.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4974
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4876
37.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
11424
104.6 IPS |
|
|
Style Transfer (SP)
|
89% |
12254
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
12059
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27298
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2577
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7046
261.1 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
99% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1100
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
596
21.2 IPS |
