samsung SM-F966B
Geekbench AI Score
571
Single Precision Score
25378
Half Precision Score
57768
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 11:57 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% |
361
67.1 IPS |
|
|
Image Classification (HP)
|
100% |
19127
3.56 KIPS |
|
|
Image Classification (Q)
|
97% |
47878
8.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
12800
207.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
39130
636.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
583
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
111063
129.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
433096
506.9 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
18172
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
20987
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
39444
468.7 IPS |
|
|
Face Detection (Q)
|
97% |
138274
1.65 KIPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
73764
568.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
137075
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
1269
1.63 IPS |
|
|
Style Transfer (HP)
|
98% |
91127
117.5 IPS |
|
|
Style Transfer (Q)
|
98% |
453337
584.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51789
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128717
4.77 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.3 IPS |
|
|
Text Classification (HP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
7644
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4379
75.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2875
74.1 IPS |
