nubia NX789J
Geekbench AI Score
2819
Single Precision Score
2700
Half Precision Score
5157
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | syphani |
| Upload Date | February 13 2025 09:29 AM |
| Views | 7 |
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 | 22.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
1045
194.4 IPS |
|
|
Image Classification (Q)
|
100% |
3191
593.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5225
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5563
6.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
14191
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1778
141.5 IPS |
|
|
Object Detection (HP)
|
98% |
1697
135.0 IPS |
|
|
Object Detection (Q)
|
83% |
4088
330.2 IPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (Q)
|
95% |
10421
124.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4742
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4717
36.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
11283
103.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11791
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11661
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26588
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2390
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6823
252.8 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1088
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
593
21.0 IPS |
