samsung SM-S938N
Geekbench AI Score
1259
Single Precision Score
2021
Half Precision Score
1900
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dlwlrma |
| Upload Date | February 25 2025 12:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938N |
| Model ID | samsung SM-S938N |
| 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% |
722
134.3 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (Q)
|
99% |
781
145.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1178
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1697
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
2482
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.7 IPS |
|
|
Object Detection (Q)
|
86% |
1151
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (Q)
|
97% |
3774
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1601
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4911
37.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3760
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5920
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
12594
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10876
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2008
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.9 IPS |
|
|
Text Classification (HP)
|
100% |
677
903.6 IPS |
|
|
Text Classification (Q)
|
91% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
57% |
684
16.7 IPS |
