nubia NX789J
Geekbench AI Score
763
Single Precision Score
27287
Half Precision Score
60030
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 14 2025 07:03 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
21774
4.05 KIPS |
|
|
Image Classification (Q)
|
97% |
50533
9.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
14691
238.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
43169
702.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
124208
144.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
482438
564.7 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
20423
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
23947
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
33683
400.2 IPS |
|
|
Face Detection (Q)
|
97% |
100579
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
968
7.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
80474
620.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
133887
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
1638
2.11 IPS |
|
|
Style Transfer (HP)
|
98% |
97332
125.5 IPS |
|
|
Style Transfer (Q)
|
98% |
484572
624.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55382
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135845
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
685
914.4 IPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8214
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3312
85.3 IPS |
