HONOR DNP-NX9
Geekbench AI Score
234
Single Precision Score
17429
Half Precision Score
44581
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 12:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR DNP-NX9 |
| Model ID | HONOR DNP-NX9 |
| Motherboard | DNP |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.04 GHz |
| Cluster 1 | 2 Cores @ 2.04 GHz |
| Cluster 2 | 5 Cores @ 2.96 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
13036
2.42 KIPS |
|
|
Image Classification (Q)
|
97% |
38851
7.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
9183
148.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
26874
437.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
63438
74.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
328506
384.5 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.85 IPS |
|
|
Object Detection (HP)
|
100% |
12012
952.8 IPS |
|
|
Object Detection (Q)
|
86% |
16709
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (HP)
|
100% |
25721
305.6 IPS |
|
|
Face Detection (Q)
|
97% |
90064
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
50191
386.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
103115
965.5 IPS |
|
|
Style Transfer (SP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (HP)
|
98% |
70223
90.6 IPS |
|
|
Style Transfer (Q)
|
98% |
371175
478.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33786
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
108546
4.02 KIPS |
|
|
Text Classification (SP)
|
100% |
172
229.3 IPS |
|
|
Text Classification (HP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2278
59.7 IPS |
