samsung SM-F966N
Geekbench AI Score
531
Single Precision Score
26649
Half Precision Score
60288
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 10:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966N |
| Model ID | samsung SM-F966N |
| 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% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
21293
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49806
9.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
13527
219.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
40313
655.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
123156
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
477862
559.3 IPS |
|
|
Object Detection (SP)
|
100% |
341
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
18004
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
21659
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (HP)
|
100% |
40048
475.9 IPS |
|
|
Face Detection (Q)
|
97% |
136489
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
627
4.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
81648
629.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
142430
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (HP)
|
98% |
98290
126.7 IPS |
|
|
Style Transfer (Q)
|
98% |
490234
632.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53255
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134934
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.0 IPS |
|
|
Text Classification (HP)
|
100% |
3877
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
8041
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4264
73.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2952
76.1 IPS |
