samsung SM-S938B
Geekbench AI Score
759
Single Precision Score
27951
Half Precision Score
63075
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 08 2025 06:11 PM |
| Views | 5 |
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% |
470
87.5 IPS |
|
|
Image Classification (HP)
|
100% |
21581
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
49671
9.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
13728
222.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42447
690.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
123892
144.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
480501
562.4 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
19823
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
22978
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
44757
531.8 IPS |
|
|
Face Detection (Q)
|
97% |
164036
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
85001
654.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
147736
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1602
2.06 IPS |
|
|
Style Transfer (HP)
|
98% |
98976
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
493672
636.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54990
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135235
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
677
903.6 IPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8047
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (Q)
|
56% |
3289
84.7 IPS |
