samsung SM-S938B
Geekbench AI Score
2901
Single Precision Score
2897
Half Precision Score
5279
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sipos |
| Upload Date | March 12 2025 12:05 PM |
| Views | 13 |
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% |
1938
360.3 IPS |
|
|
Image Classification (HP)
|
100% |
2060
383.2 IPS |
|
|
Image Classification (Q)
|
100% |
4640
862.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5365
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5822
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5592
6.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
13901
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1763
140.3 IPS |
|
|
Object Detection (HP)
|
98% |
1759
140.0 IPS |
|
|
Object Detection (Q)
|
83% |
4120
332.8 IPS |
|
|
Face Detection (SP)
|
100% |
4494
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (Q)
|
95% |
9848
117.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4694
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4787
37.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10921
100.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11983
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11900
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26020
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6851
253.8 IPS |
|
|
Text Classification (SP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
933
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1056
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
583
20.7 IPS |
