HONOR REA-NX9
Geekbench AI Score
833
Single Precision Score
906
Half Precision Score
2381
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 08:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
422
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
100% |
1618
301.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1839
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
4738
5.62 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
1537
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3683
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1753
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4544
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3816
4.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3736
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
11784
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2769
102.6 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.3 IPS |
|
|
Text Classification (HP)
|
100% |
484
645.6 IPS |
|
|
Text Classification (Q)
|
88% |
986
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
503
17.9 IPS |
