samsung SM-F966B
Geekbench AI Score
611
Single Precision Score
27201
Half Precision Score
61759
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 06:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966B |
| Model ID | samsung SM-F966B |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
21458
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
50067
9.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
13518
219.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42610
692.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
123811
144.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
478639
560.2 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
18918
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
22359
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
809
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
40956
486.6 IPS |
|
|
Face Detection (Q)
|
97% |
144026
1.72 KIPS |
|
|
Depth Estimation (SP)
|
100% |
734
5.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
83655
644.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
145132
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1164
1.50 IPS |
|
|
Style Transfer (HP)
|
98% |
98767
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
492130
634.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53414
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135494
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
525
701.3 IPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8157
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4609
79.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3110
80.1 IPS |
