samsung SM-S938U1
Geekbench AI Score
2998
Single Precision Score
2985
Half Precision Score
5438
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 19 2025 06:43 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
1965
365.5 IPS |
|
|
Image Classification (Q)
|
100% |
4607
856.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5491
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5869
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5759
6.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
14649
17.4 IPS |
|
|
Object Detection (SP)
|
98% |
1810
144.0 IPS |
|
|
Object Detection (HP)
|
98% |
1858
147.8 IPS |
|
|
Object Detection (Q)
|
83% |
4285
346.1 IPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (Q)
|
95% |
10407
124.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4943
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4900
37.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11183
102.4 IPS |
|
|
Style Transfer (SP)
|
89% |
12231
15.9 IPS |
|
|
Style Transfer (HP)
|
89% |
12246
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26890
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2584
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6960
257.9 IPS |
|
|
Text Classification (SP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1103
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
593
21.1 IPS |
