samsung SM-S938B
Geekbench AI Score
659
Single Precision Score
644
Half Precision Score
1390
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 01:16 PM |
| Views | 5 |
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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
1097
204.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
2951
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
87% |
801
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2409
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
843
6.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1221
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1468
1.89 IPS |
|
|
Style Transfer (HP)
|
100% |
1344
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3553
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1601
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.0 IPS |
|
|
Text Classification (HP)
|
100% |
576
769.0 IPS |
|
|
Text Classification (Q)
|
91% |
889
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
57% |
613
15.0 IPS |
