samsung SM-F966B
Geekbench AI Score
2707
Single Precision Score
4172
Half Precision Score
3621
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 02:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966B |
| Model ID | samsung SM-F966B |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2511
467.0 IPS |
|
|
Image Classification (Q)
|
100% |
2762
513.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3186
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5446
88.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6022
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13836
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
25001
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24350
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
2030
161.0 IPS |
|
|
Object Detection (Q)
|
85% |
1919
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
5244
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
9271
110.2 IPS |
|
|
Face Detection (Q)
|
97% |
8320
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7063
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9586
74.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7430
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17350
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38287
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34319
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3521
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5569
206.4 IPS |
|
|
Text Classification (SP)
|
35% |
77
745.1 IPS |
|
|
Text Classification (HP)
|
35% |
82
748.1 IPS |
|
|
Text Classification (Q)
|
33% |
68
760.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1576
27.1 IPS |
|
|
Machine Translation (Q)
|
48% |
621
23.8 IPS |
