nubia NX789J
Geekbench AI Score
2590
Single Precision Score
2611
Half Precision Score
4158
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 03:38 PM |
| Views | 1 |
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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.8 IPS |
|
|
Image Classification (Q)
|
100% |
4704
874.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2682
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5781
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5877
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5714
6.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
10142
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1170
93.1 IPS |
|
|
Object Detection (HP)
|
98% |
1192
94.8 IPS |
|
|
Object Detection (Q)
|
83% |
2644
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4822
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (Q)
|
95% |
11157
133.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
5133
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3212
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7187
65.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8052
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8067
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15735
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7077
262.2 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
88% |
498
672.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
