samsung SM-S938U1
Geekbench AI Score
2625
Single Precision Score
2582
Half Precision Score
4841
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Buthole |
| Upload Date | February 11 2025 11:40 AM |
| 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% |
1893
352.1 IPS |
|
|
Image Classification (HP)
|
100% |
1858
345.6 IPS |
|
|
Image Classification (Q)
|
100% |
4334
806.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5259
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4949
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4802
5.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
12257
14.5 IPS |
|
|
Object Detection (SP)
|
98% |
1583
126.0 IPS |
|
|
Object Detection (HP)
|
98% |
1593
126.7 IPS |
|
|
Object Detection (Q)
|
83% |
3552
287.0 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (Q)
|
95% |
9406
112.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4247
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3941
30.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
9848
90.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10653
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10492
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23551
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6190
229.4 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
