nubia NX769J
Geekbench AI Score
2678
Single Precision Score
2694
Half Precision Score
4299
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 10:19 PM |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1842
342.5 IPS |
|
|
Image Classification (HP)
|
100% |
2436
453.1 IPS |
|
|
Image Classification (Q)
|
100% |
3621
673.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4321
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4212
4.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
10052
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1862
148.2 IPS |
|
|
Object Detection (HP)
|
98% |
1859
147.9 IPS |
|
|
Object Detection (Q)
|
83% |
2796
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
6644
79.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4079
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4080
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6902
63.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10118
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10013
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19950
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5100
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
888
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
1326
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
794
28.2 IPS |
