samsung SM-S936N
Geekbench AI Score
612
Single Precision Score
27264
Half Precision Score
61613
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 11:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936N |
| Model ID | samsung SM-S936N |
| 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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
21452
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
49641
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
13732
222.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42315
688.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
732
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
122200
142.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
478511
560.1 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
17845
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20562
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (HP)
|
100% |
42180
501.2 IPS |
|
|
Face Detection (Q)
|
97% |
153761
1.83 KIPS |
|
|
Depth Estimation (SP)
|
100% |
877
6.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
84495
651.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
146396
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1390
1.79 IPS |
|
|
Style Transfer (HP)
|
98% |
98835
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
491933
634.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53815
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135157
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.5 IPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
7973
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (Q)
|
56% |
3197
82.3 IPS |
