samsung SM-F966B
Geekbench AI Score
454
Single Precision Score
26342
Half Precision Score
59540
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 01:47 PM |
| Views | 2 |
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% |
443
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
21182
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
50279
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
13358
216.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
38940
633.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
122071
142.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
477766
559.2 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
17985
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
21410
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (HP)
|
100% |
37553
446.2 IPS |
|
|
Face Detection (Q)
|
97% |
126643
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
80408
619.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
141949
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
98403
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
491878
634.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53098
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135085
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.2 IPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
8029
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
4231
72.9 IPS |
|
|
Machine Translation (Q)
|
56% |
2915
75.1 IPS |
