samsung SM-S938B
Geekbench AI Score
2215
Single Precision Score
2289
Half Precision Score
3421
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 29 2025 05:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| 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% |
1852
344.5 IPS |
|
|
Image Classification (HP)
|
100% |
1826
339.7 IPS |
|
|
Image Classification (Q)
|
100% |
2010
373.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3073
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5018
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4148
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
10442
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1254
99.8 IPS |
|
|
Object Detection (HP)
|
98% |
1118
89.0 IPS |
|
|
Object Detection (Q)
|
83% |
2024
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (Q)
|
95% |
7362
87.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2649
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4379
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9964
91.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11374
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11035
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21494
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1618
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3766
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
469
626.3 IPS |
|
|
Text Classification (HP)
|
99% |
539
719.8 IPS |
|
|
Text Classification (Q)
|
88% |
522
703.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
544
19.3 IPS |
