samsung SM-F966B
Geekbench AI Score
2725
Single Precision Score
4242
Half Precision Score
3656
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 11:49 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
2850
530.1 IPS |
|
|
Image Classification (Q)
|
100% |
2826
525.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5606
90.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5625
91.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13821
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
22945
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23431
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
99% |
1935
153.5 IPS |
|
|
Object Detection (Q)
|
85% |
1898
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
5019
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
9592
114.0 IPS |
|
|
Face Detection (Q)
|
97% |
8572
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7011
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9550
73.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7360
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17293
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36163
46.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37500
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3484
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5552
205.7 IPS |
|
|
Text Classification (SP)
|
35% |
95
928.6 IPS |
|
|
Text Classification (HP)
|
35% |
89
812.7 IPS |
|
|
Text Classification (Q)
|
33% |
70
779.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (Q)
|
48% |
658
25.3 IPS |
