HONOR DNY-NX9
Geekbench AI Score
230
Single Precision Score
232
Half Precision Score
549
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 18 2025 02:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR DNY-NX9 |
| Model ID | HONOR DNY-NX9 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
99% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
410
6.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
987
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
87% |
410
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
97% |
853
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
738
6.70 IPS |
|
|
Style Transfer (SP)
|
100% |
535
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1552
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
566
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.1 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.0 IPS |
|
|
Text Classification (Q)
|
91% |
310
417.1 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (Q)
|
57% |
250
6.12 IPS |
