HONOR BRP-NX1
Geekbench AI Score
391
Single Precision Score
389
Half Precision Score
740
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 12:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR BRP-NX1 |
| Model ID | HONOR BRP-NX1 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.7 IPS |
|
|
Image Classification (Q)
|
100% |
1340
249.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1933
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1172
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
83% |
391
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
334
3.96 IPS |
|
|
Face Detection (HP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (Q)
|
95% |
796
9.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
476
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
991
9.07 IPS |
|
|
Style Transfer (SP)
|
89% |
1102
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1094
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2442
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
155
207.4 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.7 IPS |
|
|
Text Classification (Q)
|
88% |
258
348.0 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
50% |
170
6.03 IPS |
