HONOR REA-NX9
Geekbench AI Score
970
Single Precision Score
969
Half Precision Score
2488
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 10:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR REA-NX9 |
| Model ID | HONOR REA-NX9 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
100% |
1848
343.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
2078
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2156
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2081
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
4977
5.90 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
83% |
1711
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
4149
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1739
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4215
38.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3704
4.81 IPS |
|
|
Style Transfer (HP)
|
89% |
3637
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
11115
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2777
102.9 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.3 IPS |
|
|
Text Classification (HP)
|
100% |
507
676.2 IPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
490
17.4 IPS |
