nubia NX769J
Geekbench AI Score
2556
Single Precision Score
2535
Half Precision Score
3753
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nubia NX769J |
| Model ID | nubia NX769J |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
2342
435.6 IPS |
|
|
Image Classification (Q)
|
100% |
2715
504.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2625
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3425
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4173
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4150
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9501
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1834
146.0 IPS |
|
|
Object Detection (HP)
|
98% |
1809
144.0 IPS |
|
|
Object Detection (Q)
|
83% |
2548
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3825
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
5981
71.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3599
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3684
28.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6104
55.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9549
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9525
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18114
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4532
167.9 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1180
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1433
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.7 IPS |
