samsung SM-S938B
Geekbench AI Score
2571
Single Precision Score
2762
Half Precision Score
4647
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 12:11 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% |
2242
417.0 IPS |
|
|
Image Classification (HP)
|
100% |
2104
391.2 IPS |
|
|
Image Classification (Q)
|
100% |
4778
888.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5377
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5721
6.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
13613
16.1 IPS |
|
|
Object Detection (SP)
|
98% |
1384
110.2 IPS |
|
|
Object Detection (HP)
|
98% |
1676
133.4 IPS |
|
|
Object Detection (Q)
|
83% |
3751
303.0 IPS |
|
|
Face Detection (SP)
|
100% |
4458
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4430
52.6 IPS |
|
|
Face Detection (Q)
|
95% |
8955
106.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4630
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4604
35.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
9205
84.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11630
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11487
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23438
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4643
172.0 IPS |
|
|
Text Classification (SP)
|
100% |
392
522.7 IPS |
|
|
Text Classification (HP)
|
99% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
738
995.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
541
19.2 IPS |
