samsung SM-S938B
Geekbench AI Score
590
Single Precision Score
26970
Half Precision Score
60655
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 12:50 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% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
21457
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
49045
9.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
13543
219.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42188
686.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
119014
138.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
476998
558.3 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
18606
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
20653
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (HP)
|
100% |
41118
488.6 IPS |
|
|
Face Detection (Q)
|
97% |
141143
1.68 KIPS |
|
|
Depth Estimation (SP)
|
100% |
922
7.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
84617
651.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
145838
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1532
1.97 IPS |
|
|
Style Transfer (HP)
|
98% |
98441
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
490578
632.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52016
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
129242
4.79 KIPS |
|
|
Text Classification (SP)
|
100% |
417
556.2 IPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7955
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4565
78.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3185
82.1 IPS |
