samsung SM-S936N
Geekbench AI Score
738
Single Precision Score
27816
Half Precision Score
62787
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 07:15 AM |
| Views | 1 |
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% |
472
87.9 IPS |
|
|
Image Classification (HP)
|
100% |
21373
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49549
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
13686
221.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
42417
689.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
123404
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
478084
559.6 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
19498
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
22522
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
44468
528.4 IPS |
|
|
Face Detection (Q)
|
97% |
163403
1.95 KIPS |
|
|
Depth Estimation (SP)
|
100% |
968
7.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
84878
653.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
147284
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1602
2.06 IPS |
|
|
Style Transfer (HP)
|
98% |
98759
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
492316
634.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55037
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135366
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
673
898.7 IPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
8042
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4872
83.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3262
84.0 IPS |
