samsung SM-F966B
Geekbench AI Score
2630
Single Precision Score
2538
Half Precision Score
4302
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 25 2025 11:08 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2264
421.1 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.4 IPS |
|
|
Image Classification (Q)
|
100% |
4767
886.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5514
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5415
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4575
5.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
10989
13.0 IPS |
|
|
Object Detection (SP)
|
98% |
1365
108.6 IPS |
|
|
Object Detection (HP)
|
98% |
1451
115.4 IPS |
|
|
Object Detection (Q)
|
83% |
3722
300.6 IPS |
|
|
Face Detection (SP)
|
100% |
4361
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4393
52.2 IPS |
|
|
Face Detection (Q)
|
95% |
8829
105.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4605
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4010
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7728
70.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9335
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9496
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18959
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5036
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.6 IPS |
|
|
Text Classification (HP)
|
99% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
702
947.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
