samsung SM-F966B
Geekbench AI Score
510
Single Precision Score
26581
Half Precision Score
60358
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 06:09 PM |
| Views | 16 |
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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
21024
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
49770
9.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
13541
219.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
41255
670.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
123217
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
478745
560.3 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
17923
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
21894
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (HP)
|
100% |
38853
461.7 IPS |
|
|
Face Detection (Q)
|
97% |
131870
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
80557
620.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
143665
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
98534
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
491732
634.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53533
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135036
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
458
611.2 IPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
8035
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (Q)
|
56% |
2950
76.0 IPS |
