samsung SM-S938B
Geekbench AI Score
738
Single Precision Score
27749
Half Precision Score
62701
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 17 2025 06:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
462
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
21144
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
49098
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
13590
220.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
42439
690.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
122314
142.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
480585
562.5 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
19977
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
23147
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
43940
522.1 IPS |
|
|
Face Detection (Q)
|
97% |
162084
1.93 KIPS |
|
|
Depth Estimation (SP)
|
100% |
932
7.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
84716
652.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
146882
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1565
2.01 IPS |
|
|
Style Transfer (HP)
|
98% |
98963
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
495654
639.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55284
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135038
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
660
880.8 IPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
7974
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4839
83.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3189
82.2 IPS |
