samsung SM-S938B
Geekbench AI Score
2940
Single Precision Score
2951
Half Precision Score
5367
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | V-One |
| Upload Date | April 14 2025 08:54 PM |
| Views | 7 |
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% |
2046
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
2139
397.7 IPS |
|
|
Image Classification (Q)
|
100% |
4739
881.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5443
88.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5404
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
13899
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1795
142.9 IPS |
|
|
Object Detection (HP)
|
98% |
1800
143.2 IPS |
|
|
Object Detection (Q)
|
83% |
4134
333.9 IPS |
|
|
Face Detection (SP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4491
53.4 IPS |
|
|
Face Detection (Q)
|
95% |
10158
121.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4816
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4770
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11080
101.5 IPS |
|
|
Style Transfer (SP)
|
89% |
12057
15.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11886
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26854
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2504
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6863
254.3 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1104
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
