samsung SM-F966U
Geekbench AI Score
2013
Single Precision Score
1871
Half Precision Score
3292
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 08:33 PM |
| Views | 1 |
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% |
1843
342.8 IPS |
|
|
Image Classification (HP)
|
100% |
1893
352.0 IPS |
|
|
Image Classification (Q)
|
100% |
3588
667.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4885
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5176
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
10023
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1436
114.3 IPS |
|
|
Object Detection (HP)
|
98% |
1418
112.9 IPS |
|
|
Object Detection (Q)
|
83% |
2666
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
6440
76.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4230
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2884
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6808
62.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6727
8.73 IPS |
|
|
Style Transfer (HP)
|
89% |
5960
7.74 IPS |
|
|
Style Transfer (Q)
|
98% |
11330
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1250
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3429
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.9 IPS |
|
|
Text Classification (HP)
|
99% |
411
548.0 IPS |
|
|
Text Classification (Q)
|
88% |
581
783.4 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
