samsung SM-F966B
Geekbench AI Score
2647
Single Precision Score
4021
Half Precision Score
3264
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 05:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1579
293.6 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (Q)
|
100% |
2024
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3032
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5935
96.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5576
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13774
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24631
28.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22729
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
1922
152.5 IPS |
|
|
Object Detection (Q)
|
85% |
1784
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
5395
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
10188
121.1 IPS |
|
|
Face Detection (Q)
|
97% |
8992
107.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6404
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9610
74.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7467
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16991
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29939
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29762
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5845
216.6 IPS |
|
|
Text Classification (SP)
|
35% |
77
747.2 IPS |
|
|
Text Classification (HP)
|
35% |
85
774.8 IPS |
|
|
Text Classification (Q)
|
33% |
60
672.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (Q)
|
48% |
429
16.5 IPS |
