samsung SM-S938N
Geekbench AI Score
1331
Single Precision Score
2275
Half Precision Score
2039
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | toygoon |
| Upload Date | February 12 2025 08:42 AM |
| Views | 5 |
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% |
720
134.0 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.4 IPS |
|
|
Image Classification (Q)
|
99% |
787
146.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1177
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1710
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2978
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2973
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
1232
97.7 IPS |
|
|
Object Detection (Q)
|
86% |
1144
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
4814
57.2 IPS |
|
|
Face Detection (Q)
|
97% |
4049
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1665
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4946
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
4076
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6247
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
13400
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13335
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2287
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2229
82.6 IPS |
|
|
Text Classification (SP)
|
100% |
711
948.8 IPS |
|
|
Text Classification (HP)
|
100% |
713
952.2 IPS |
|
|
Text Classification (Q)
|
91% |
1117
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
57% |
723
17.7 IPS |
