nubia NX769J
Geekbench AI Score
447
Single Precision Score
448
Half Precision Score
1020
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 03:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
269
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
97% |
687
128.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1775
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (Q)
|
89% |
734
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.78 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.86 IPS |
|
|
Face Detection (Q)
|
97% |
1551
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
590
4.55 IPS |
|
|
Depth Estimation (HP)
|
100% |
590
4.55 IPS |
|
|
Depth Estimation (Q)
|
73% |
1527
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
946
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
945
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2255
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1070
39.6 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.6 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.1 IPS |
|
|
Text Classification (Q)
|
91% |
646
868.3 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
530
12.9 IPS |
