HONOR BRP-NX1M
Geekbench AI Score
179
Single Precision Score
180
Half Precision Score
7874
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mpoloton |
| Upload Date | July 09 2025 02:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
115
21.4 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
97% |
7500
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
5778
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
20880
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.86 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.90 IPS |
|
|
Object Detection (Q)
|
86% |
3603
289.7 IPS |
|
|
Face Detection (SP)
|
100% |
261
3.11 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
97% |
20582
245.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
224
1.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
225
1.73 IPS |
|
|
Depth Estimation (Q)
|
63% |
16293
152.6 IPS |
|
|
Style Transfer (SP)
|
100% |
391
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
393
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
44236
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
111
4.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11151
413.2 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.0 IPS |
|
|
Text Classification (HP)
|
100% |
149
199.4 IPS |
|
|
Text Classification (Q)
|
93% |
2655
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (Q)
|
55% |
640
16.8 IPS |
