nubia NX769J
Geekbench AI Score
1135
Single Precision Score
1705
Half Precision Score
1632
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 03:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
931
173.0 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (Q)
|
99% |
659
123.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1122
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2746
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
2726
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (Q)
|
89% |
933
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (Q)
|
97% |
3037
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1903
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3956
30.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
3718
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7377
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
11874
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11603
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1610
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.3 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.4 IPS |
|
|
Text Classification (Q)
|
91% |
644
865.1 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
527
12.9 IPS |
