samsung SM-S938B
Geekbench AI Score
1272
Single Precision Score
2168
Half Precision Score
1879
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | angelpradomx |
| Upload Date | February 23 2025 02:52 AM |
| Views | 10 |
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% |
711
132.2 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.4 IPS |
|
|
Image Classification (Q)
|
99% |
805
150.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1305
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1718
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
2956
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (Q)
|
86% |
1188
95.4 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (Q)
|
97% |
3284
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1684
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4920
38.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
4052
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6243
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
10959
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10900
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1660
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.6 IPS |
|
|
Text Classification (HP)
|
100% |
679
906.1 IPS |
|
|
Text Classification (Q)
|
91% |
1076
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
57% |
576
14.1 IPS |
