HONOR BRP-NX1M
Geekbench AI Score
288
Single Precision Score
290
Half Precision Score
577
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 04:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
136
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (Q)
|
100% |
387
72.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
446
7.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
626
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1181
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
83% |
389
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
95% |
806
9.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
988
9.05 IPS |
|
|
Style Transfer (SP)
|
89% |
1120
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1134
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2483
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
609
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.6 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.0 IPS |
|
|
Text Classification (Q)
|
88% |
253
341.6 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
50% |
172
6.09 IPS |
