HONOR REA-NX9
Geekbench AI Score
1007
Single Precision Score
934
Half Precision Score
2555
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 04:45 PM |
| Views | 1 |
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% |
496
92.3 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (Q)
|
100% |
1867
347.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2151
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
5141
6.10 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
1801
145.5 IPS |
|
|
Face Detection (SP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (Q)
|
95% |
4174
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1821
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1825
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4456
40.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3779
4.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3797
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11392
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1031
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2861
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.6 IPS |
|
|
Text Classification (HP)
|
100% |
532
709.5 IPS |
|
|
Text Classification (Q)
|
88% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
