samsung SM-S938B
Geekbench AI Score
1143
Single Precision Score
1863
Half Precision Score
1806
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 10:28 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% |
727
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.4 IPS |
|
|
Image Classification (Q)
|
99% |
1216
226.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1163
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1672
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
2036
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (Q)
|
86% |
1004
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
4073
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1326
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3752
29.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3158
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4611
5.93 IPS |
|
|
Style Transfer (HP)
|
100% |
9821
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9729
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1626
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
680
907.8 IPS |
|
|
Text Classification (HP)
|
100% |
680
908.0 IPS |
|
|
Text Classification (Q)
|
91% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
57% |
600
14.7 IPS |
