samsung SM-F966B
Geekbench AI Score
489
Single Precision Score
26417
Half Precision Score
59862
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 26 2025 01:38 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
449
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
21388
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
50043
9.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
13626
220.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
40808
663.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
123350
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
478484
560.0 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
17885
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
21441
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
647
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
37944
450.9 IPS |
|
|
Face Detection (Q)
|
97% |
127099
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
572
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
80729
622.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
143804
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
98412
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
490406
632.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52075
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135349
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.1 IPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
8017
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2900
74.7 IPS |
