nubia NX789J
Geekbench AI Score
929
Single Precision Score
1477
Half Precision Score
1425
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 11:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | nubia NX789J |
| Model ID | nubia NX789J |
| 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 @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
570
106.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.2 IPS |
|
|
Image Classification (Q)
|
99% |
528
98.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1525
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1288
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
2009
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (Q)
|
86% |
950
76.3 IPS |
|
|
Face Detection (SP)
|
100% |
2280
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
1658
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1296
9.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
3352
25.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2819
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4647
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
10115
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10014
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1556
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.3 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.7 IPS |
|
|
Text Classification (Q)
|
91% |
616
827.3 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
502
12.3 IPS |
