samsung SM-S936N
Geekbench AI Score
524
Single Precision Score
26926
Half Precision Score
60043
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 07:35 AM |
| Views | 12 |
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% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
21328
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49368
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
13547
219.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42027
683.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
123757
144.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
477652
559.1 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
18618
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21566
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (HP)
|
100% |
40767
484.4 IPS |
|
|
Face Detection (Q)
|
97% |
136376
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
615
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
83261
641.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
141722
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1097
1.41 IPS |
|
|
Style Transfer (HP)
|
98% |
98538
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
490088
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52905
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132467
4.91 KIPS |
|
|
Text Classification (SP)
|
100% |
394
525.8 IPS |
|
|
Text Classification (HP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
7869
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4381
75.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2886
74.4 IPS |
