samsung SM-S938B
Geekbench AI Score
1302
Single Precision Score
2017
Half Precision Score
1923
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 01:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
739
137.5 IPS |
|
|
Image Classification (Q)
|
99% |
704
131.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1259
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1698
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2973
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2971
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (Q)
|
86% |
1007
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (Q)
|
97% |
3702
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4939
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4054
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6277
8.07 IPS |
|
|
Style Transfer (HP)
|
100% |
13497
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12799
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1875
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
670
893.9 IPS |
|
|
Text Classification (HP)
|
100% |
668
891.9 IPS |
|
|
Text Classification (Q)
|
91% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
57% |
656
16.0 IPS |
