samsung SM-F966U1
Geekbench AI Score
2482
Single Precision Score
2357
Half Precision Score
4009
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 01:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966U1 |
| Model ID | samsung SM-F966U1 |
| 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% |
1905
354.3 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
100% |
4358
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5148
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5560
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3763
4.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
10419
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
1295
103.0 IPS |
|
|
Object Detection (HP)
|
98% |
1343
106.9 IPS |
|
|
Object Detection (Q)
|
83% |
3186
257.4 IPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
7789
93.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3875
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3767
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7430
68.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9344
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8984
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18887
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1870
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4752
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
655
882.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.0 IPS |
