samsung SM-S938B
Geekbench AI Score
1126
Single Precision Score
1788
Half Precision Score
1785
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xDJoelDx |
| Upload Date | February 27 2025 05:35 PM |
| Views | 3 |
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% |
527
98.0 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.6 IPS |
|
|
Image Classification (Q)
|
99% |
701
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1634
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1868
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
2030
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.1 IPS |
|
|
Object Detection (Q)
|
86% |
1005
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (Q)
|
97% |
3928
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1472
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4046
31.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3320
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4737
6.09 IPS |
|
|
Style Transfer (HP)
|
100% |
10196
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10728
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1639
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.1 IPS |
|
|
Text Classification (HP)
|
100% |
674
899.1 IPS |
|
|
Text Classification (Q)
|
91% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
57% |
697
17.0 IPS |
