samsung SM-S938U1
Geekbench AI Score
2831
Single Precision Score
2877
Half Precision Score
4876
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jeradhill |
| Upload Date | February 07 2025 11:34 AM |
| Views | 7 |
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% |
2139
397.8 IPS |
|
|
Image Classification (HP)
|
100% |
2059
383.0 IPS |
|
|
Image Classification (Q)
|
100% |
4720
877.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2600
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5491
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5415
6.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
13006
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1750
139.2 IPS |
|
|
Object Detection (HP)
|
98% |
1783
141.8 IPS |
|
|
Object Detection (Q)
|
83% |
3992
322.5 IPS |
|
|
Face Detection (SP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (Q)
|
95% |
9931
118.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4605
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4609
35.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10976
100.5 IPS |
|
|
Style Transfer (SP)
|
89% |
12045
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11974
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25678
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5267
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
734
980.0 IPS |
|
|
Text Classification (HP)
|
99% |
911
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
662
892.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.6 IPS |
