HONOR DNY-NX9
Geekbench AI Score
732
Single Precision Score
1166
Half Precision Score
914
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | February 16 2026 04:35 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.6 IPS |
|
|
Image Classification (Q)
|
99% |
700
130.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1037
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3268
3.81 IPS |
|
|
Pose Estimation (HP)
|
99% |
6278
7.35 IPS |
|
|
Pose Estimation (Q)
|
97% |
6101
7.14 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
99% |
626
49.7 IPS |
|
|
Object Detection (Q)
|
82% |
575
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1503
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1974
15.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3541
27.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2791
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4203
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
8847
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8473
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1279
47.4 IPS |
|
|
Text Classification (SP)
|
35% |
30
292.3 IPS |
|
|
Text Classification (HP)
|
35% |
37
334.1 IPS |
|
|
Text Classification (Q)
|
35% |
32
308.8 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (HP)
|
97% |
314
5.42 IPS |
|
|
Machine Translation (Q)
|
49% |
111
4.17 IPS |
