samsung SM-F966U
Geekbench AI Score
2719
Single Precision Score
4244
Half Precision Score
3553
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Davenator777 |
| Upload Date | September 10 2025 02:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1699
315.9 IPS |
|
|
Image Classification (HP)
|
100% |
2313
430.2 IPS |
|
|
Image Classification (Q)
|
100% |
2109
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3116
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4886
79.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5417
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13759
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24896
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24051
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
2002
158.8 IPS |
|
|
Object Detection (Q)
|
85% |
2178
175.3 IPS |
|
|
Face Detection (SP)
|
100% |
5186
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
9991
118.7 IPS |
|
|
Face Detection (Q)
|
97% |
8067
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7085
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9590
74.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7404
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17073
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38454
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37408
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3533
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6162
227.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5771
213.9 IPS |
|
|
Text Classification (SP)
|
35% |
84
820.2 IPS |
|
|
Text Classification (HP)
|
35% |
87
793.3 IPS |
|
|
Text Classification (Q)
|
33% |
68
761.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (Q)
|
48% |
611
23.4 IPS |
