HONOR BRP-NX1M
Geekbench AI Score
636
Single Precision Score
555
Half Precision Score
1101
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mpoloton |
| Upload Date | July 09 2025 02:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR BRP-NX1M |
| Model ID | HONOR BRP-NX1M |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.3 IPS |
|
|
Image Classification (Q)
|
100% |
1143
212.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1349
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1765
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1813
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2988
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
1017
82.2 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2755
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1414
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1442
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2706
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3103
4.03 IPS |
|
|
Style Transfer (HP)
|
89% |
3129
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
5837
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
119
159.4 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.8 IPS |
|
|
Text Classification (Q)
|
88% |
199
268.3 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (Q)
|
50% |
133
4.71 IPS |
