HONOR REA-NX9
Geekbench AI Score
969
Single Precision Score
967
Half Precision Score
2485
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 08:43 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% |
488
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
100% |
1869
347.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
2109
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2064
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
4794
5.69 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
1678
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
4126
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1735
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1752
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4243
38.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3610
4.69 IPS |
|
|
Style Transfer (HP)
|
89% |
3595
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
10979
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2805
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.8 IPS |
|
|
Text Classification (HP)
|
100% |
507
677.1 IPS |
|
|
Text Classification (Q)
|
88% |
1067
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
493
17.5 IPS |
