samsung SM-S938B
Geekbench AI Score
2750
Single Precision Score
2779
Half Precision Score
4887
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 21 2025 05:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1866
347.1 IPS |
|
|
Image Classification (HP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (Q)
|
100% |
4475
832.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5374
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5334
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5400
6.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
13392
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1735
138.0 IPS |
|
|
Object Detection (HP)
|
98% |
1732
137.8 IPS |
|
|
Object Detection (Q)
|
83% |
3966
320.3 IPS |
|
|
Face Detection (SP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (Q)
|
95% |
9726
116.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4509
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4525
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10311
94.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10883
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11364
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23782
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6140
227.5 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
738
994.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
