samsung SM-F966U1
Geekbench AI Score
2739
Single Precision Score
2632
Half Precision Score
4463
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Billfumo |
| Upload Date | September 08 2025 09:00 PM |
| Views | 14 |
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% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
2183
406.0 IPS |
|
|
Image Classification (Q)
|
100% |
4620
859.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5573
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5582
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5228
6.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
9514
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1341
106.7 IPS |
|
|
Object Detection (HP)
|
98% |
1566
124.6 IPS |
|
|
Object Detection (Q)
|
83% |
3703
299.1 IPS |
|
|
Face Detection (SP)
|
100% |
4387
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (Q)
|
95% |
9345
111.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4481
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4030
31.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7554
69.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11263
14.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10057
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18529
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6047
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
