HONOR REA-NX9
Geekbench AI Score
374
Single Precision Score
441
Half Precision Score
452
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 08:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
226
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
97% |
352
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
559
9.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
186
0.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
185
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
89% |
271
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1038
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
543
4.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
745
5.76 IPS |
|
|
Depth Estimation (Q)
|
63% |
591
5.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2066
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2055
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
270
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.1 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.6 IPS |
|
|
Text Classification (Q)
|
91% |
359
482.8 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.24 IPS |
