samsung SM-F966N
Geekbench AI Score
2725
Single Precision Score
4155
Half Precision Score
3762
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966N |
| Model ID | samsung SM-F966N |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.0 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.7 IPS |
|
|
Image Classification (Q)
|
100% |
2822
524.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3197
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5140
83.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5819
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13624
15.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24521
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23974
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
1987
157.6 IPS |
|
|
Object Detection (Q)
|
85% |
1890
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
9579
113.8 IPS |
|
|
Face Detection (Q)
|
97% |
8305
99.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9554
73.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7387
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17299
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37705
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37555
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5556
205.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5670
210.1 IPS |
|
|
Text Classification (SP)
|
35% |
84
814.5 IPS |
|
|
Text Classification (HP)
|
35% |
81
733.8 IPS |
|
|
Text Classification (Q)
|
33% |
79
884.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (Q)
|
48% |
741
28.4 IPS |
