samsung SM-S938B
Geekbench AI Score
2331
Single Precision Score
2355
Half Precision Score
3709
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | darki73 |
| Upload Date | February 19 2025 01:07 PM |
| Views | 11 |
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% |
1982
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (Q)
|
100% |
4228
786.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5158
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5119
5.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
12623
15.0 IPS |
|
|
Object Detection (SP)
|
98% |
1516
120.7 IPS |
|
|
Object Detection (HP)
|
98% |
1377
109.6 IPS |
|
|
Object Detection (Q)
|
83% |
2909
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (Q)
|
95% |
6968
83.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3922
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4322
33.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
9668
88.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11010
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10434
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18755
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3585
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.4 IPS |
|
|
Text Classification (HP)
|
99% |
589
785.7 IPS |
|
|
Text Classification (Q)
|
88% |
607
818.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
451
16.0 IPS |
