samsung SM-F966U1
Geekbench AI Score
402
Single Precision Score
389
Half Precision Score
807
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 04 2025 03:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
99% |
641
119.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
459
7.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
344
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
355
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1413
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (Q)
|
97% |
1099
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
468
3.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
1002
9.10 IPS |
|
|
Style Transfer (SP)
|
100% |
805
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
833
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
2309
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1005
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.1 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.8 IPS |
|
|
Text Classification (Q)
|
91% |
567
762.4 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
57% |
352
8.60 IPS |
