samsung SM-S938B
Geekbench AI Score
1296
Single Precision Score
2190
Half Precision Score
2220
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 03:27 AM |
| 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% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.6 IPS |
|
|
Image Classification (Q)
|
99% |
1382
257.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1638
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1696
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2963
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
2958
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
86% |
1329
106.7 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
4271
50.7 IPS |
|
|
Face Detection (Q)
|
97% |
3315
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1685
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4921
38.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
4043
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6276
8.07 IPS |
|
|
Style Transfer (HP)
|
100% |
13529
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13365
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2229
82.6 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.4 IPS |
|
|
Text Classification (HP)
|
100% |
675
901.5 IPS |
|
|
Text Classification (Q)
|
91% |
1067
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
57% |
768
18.8 IPS |
