samsung SM-F966U1
Geekbench AI Score
514
Single Precision Score
26605
Half Precision Score
60435
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966U1 |
| Model ID | samsung SM-F966U1 |
| 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% |
454
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
21166
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
50125
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
13718
222.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
41249
670.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
123647
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
479739
561.5 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (HP)
|
100% |
17971
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
21480
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
640
7.61 IPS |
|
|
Face Detection (HP)
|
100% |
38617
458.9 IPS |
|
|
Face Detection (Q)
|
97% |
137026
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
568
4.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
83334
642.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
143418
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
914
1.18 IPS |
|
|
Style Transfer (HP)
|
98% |
98411
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
492005
634.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52784
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135504
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
498
664.1 IPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7934
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2935
75.6 IPS |
