HONOR REA-NX9
Geekbench AI Score
190
Single Precision Score
4574
Half Precision Score
12665
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 04:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
3486
648.4 IPS |
|
|
Image Classification (Q)
|
99% |
10808
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7258
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13157
15.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
48885
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (HP)
|
100% |
2507
198.8 IPS |
|
|
Object Detection (Q)
|
88% |
5857
469.2 IPS |
|
|
Face Detection (SP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (HP)
|
100% |
6857
81.5 IPS |
|
|
Face Detection (Q)
|
97% |
28187
336.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
9956
76.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
26705
245.9 IPS |
|
|
Style Transfer (SP)
|
100% |
435
0.56 IPS |
|
|
Style Transfer (HP)
|
98% |
16958
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
103768
133.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7708
284.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
24676
914.4 IPS |
|
|
Text Classification (SP)
|
100% |
160
214.0 IPS |
|
|
Text Classification (HP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (Q)
|
94% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
597
20.7 IPS |
