samsung SM-F966B
Geekbench AI Score
585
Single Precision Score
26802
Half Precision Score
60901
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 11 2026 04:05 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
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
21357
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49729
9.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
13609
220.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
41340
672.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
568
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
123342
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
478674
560.3 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
17910
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
21846
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (HP)
|
100% |
40871
485.6 IPS |
|
|
Face Detection (Q)
|
97% |
144158
1.72 KIPS |
|
|
Depth Estimation (SP)
|
100% |
702
5.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
82800
637.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
144096
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1158
1.49 IPS |
|
|
Style Transfer (HP)
|
98% |
98721
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
492412
635.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53330
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135146
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.2 IPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8081
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2923
75.3 IPS |
