samsung SM-S938B
Geekbench AI Score
560
Single Precision Score
538
Half Precision Score
1161
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
431
80.2 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
99% |
1001
186.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
841
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
604
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2091
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
87% |
801
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
97% |
1941
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
740
5.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
692
5.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1500
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1166
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1031
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2826
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
337
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1195
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
434
578.8 IPS |
|
|
Text Classification (HP)
|
100% |
432
577.2 IPS |
|
|
Text Classification (Q)
|
91% |
669
899.1 IPS |
|
|
Machine Translation (SP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
57% |
481
11.8 IPS |
