samsung SM-S938U1
Geekbench AI Score
2072
Single Precision Score
2231
Half Precision Score
2869
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Wsuone |
| Upload Date | February 03 2025 08:53 PM |
| Views | 6 |
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% |
1907
354.7 IPS |
|
|
Image Classification (HP)
|
100% |
1975
367.4 IPS |
|
|
Image Classification (Q)
|
100% |
2152
400.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1393
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4192
4.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
9621
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1125
89.5 IPS |
|
|
Object Detection (HP)
|
98% |
1162
92.5 IPS |
|
|
Object Detection (Q)
|
83% |
1955
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
7000
83.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3604
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4316
33.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
7153
65.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9257
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8971
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19689
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3244
120.2 IPS |
|
|
Text Classification (SP)
|
100% |
594
793.4 IPS |
|
|
Text Classification (HP)
|
99% |
608
811.4 IPS |
|
|
Text Classification (Q)
|
88% |
479
646.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.5 IPS |
