samsung SM-F966B
Geekbench AI Score
2384
Single Precision Score
3654
Half Precision Score
3053
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:43 PM |
| Views | 4 |
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% |
1694
315.1 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.6 IPS |
|
|
Image Classification (Q)
|
100% |
2918
542.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5282
85.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5632
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12858
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
20924
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19072
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
99% |
1618
128.3 IPS |
|
|
Object Detection (Q)
|
85% |
1765
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
4627
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
7692
91.4 IPS |
|
|
Face Detection (Q)
|
97% |
8462
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7063
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9605
74.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7418
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17469
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38204
49.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22467
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3604
133.6 IPS |
|
|
Text Classification (SP)
|
35% |
47
457.0 IPS |
|
|
Text Classification (HP)
|
35% |
79
718.0 IPS |
|
|
Text Classification (Q)
|
33% |
63
707.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
48% |
398
15.3 IPS |
