samsung SM-F966U1
Geekbench AI Score
531
Single Precision Score
27016
Half Precision Score
60227
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 10 2025 09:55 AM |
| 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% |
458
85.1 IPS |
|
|
Image Classification (HP)
|
100% |
21444
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
49906
9.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
13646
221.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
41660
677.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
123365
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
477644
559.1 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
18919
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
22023
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
40978
486.9 IPS |
|
|
Face Detection (Q)
|
97% |
136097
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
82853
638.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
141575
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1078
1.39 IPS |
|
|
Style Transfer (HP)
|
98% |
98444
126.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489382
631.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52956
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132363
4.90 KIPS |
|
|
Text Classification (SP)
|
100% |
318
423.9 IPS |
|
|
Text Classification (HP)
|
100% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7890
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4434
76.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2916
75.1 IPS |
