samsung SM-S938U1
Geekbench AI Score
3009
Single Precision Score
2960
Half Precision Score
5397
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 12:58 PM |
| Views | 4 |
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% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.6 IPS |
|
|
Image Classification (Q)
|
100% |
4505
837.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5381
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6010
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5753
6.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
14515
17.2 IPS |
|
|
Object Detection (SP)
|
98% |
1862
148.2 IPS |
|
|
Object Detection (HP)
|
98% |
1816
144.5 IPS |
|
|
Object Detection (Q)
|
83% |
4198
339.1 IPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (Q)
|
95% |
10225
122.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4911
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4891
37.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
11208
102.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12310
16.0 IPS |
|
|
Style Transfer (HP)
|
89% |
12328
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27151
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2579
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6978
258.6 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
99% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
88% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
