nubia NX789J
Geekbench AI Score
2216
Single Precision Score
2316
Half Precision Score
3779
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 10:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (Q)
|
100% |
4721
878.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5579
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5735
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5639
6.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
9715
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1164
92.6 IPS |
|
|
Object Detection (HP)
|
98% |
1126
89.6 IPS |
|
|
Object Detection (Q)
|
83% |
2485
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (Q)
|
95% |
6375
76.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3160
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5184
40.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
11947
109.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8071
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8152
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16914
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3391
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
607
810.8 IPS |
|
|
Text Classification (HP)
|
99% |
550
734.1 IPS |
|
|
Text Classification (Q)
|
88% |
525
708.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
408
14.5 IPS |
