samsung SM-F966U
Geekbench AI Score
2470
Single Precision Score
2329
Half Precision Score
4056
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Davenator777 |
| Upload Date | September 07 2025 12:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966U |
| Model ID | samsung SM-F966U |
| 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% |
1882
350.0 IPS |
|
|
Image Classification (HP)
|
100% |
2205
410.0 IPS |
|
|
Image Classification (Q)
|
100% |
4317
802.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5494
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5382
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
9693
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1336
106.3 IPS |
|
|
Object Detection (HP)
|
98% |
1404
111.7 IPS |
|
|
Object Detection (Q)
|
83% |
3701
299.0 IPS |
|
|
Face Detection (SP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (Q)
|
95% |
7808
93.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3933
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3652
28.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7486
68.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8877
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8156
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16769
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4661
172.7 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
700
944.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
