samsung SM-S938B
Geekbench AI Score
1134
Single Precision Score
1851
Half Precision Score
1718
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | February 06 2025 10:38 PM |
| Views | 2 |
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% |
746
138.8 IPS |
|
|
Image Classification (HP)
|
100% |
976
181.4 IPS |
|
|
Image Classification (Q)
|
99% |
795
148.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1707
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1911
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (Q)
|
86% |
928
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3381
40.2 IPS |
|
|
Face Detection (Q)
|
97% |
3797
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1299
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3575
27.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2860
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4226
5.43 IPS |
|
|
Style Transfer (HP)
|
100% |
9382
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9273
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1579
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
684
913.2 IPS |
|
|
Text Classification (HP)
|
100% |
682
910.2 IPS |
|
|
Text Classification (Q)
|
91% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
57% |
589
14.4 IPS |
