samsung SM-F966U1
Geekbench AI Score
2181
Single Precision Score
2041
Half Precision Score
3559
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 01 2025 04:45 AM |
| Views | 8 |
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% |
1856
345.1 IPS |
|
|
Image Classification (HP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (Q)
|
100% |
4292
798.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5207
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5148
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3604
4.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
9928
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1196
95.2 IPS |
|
|
Object Detection (HP)
|
98% |
1301
103.5 IPS |
|
|
Object Detection (Q)
|
83% |
2971
240.0 IPS |
|
|
Face Detection (SP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (Q)
|
95% |
6302
75.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3564
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3307
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6539
59.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8320
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
7754
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15854
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3852
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
515
686.9 IPS |
|
|
Text Classification (HP)
|
99% |
517
690.3 IPS |
|
|
Text Classification (Q)
|
88% |
523
705.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
