HONOR BRP-NX1M
Geekbench AI Score
196
Single Precision Score
196
Half Precision Score
7909
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 04:32 PM |
| Views | 1 |
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% |
114
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
97% |
7399
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
5763
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
20785
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.02 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.05 IPS |
|
|
Object Detection (Q)
|
86% |
3661
294.3 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
97% |
21111
251.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
63% |
16438
153.9 IPS |
|
|
Style Transfer (SP)
|
100% |
443
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
43863
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11121
412.1 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.7 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.2 IPS |
|
|
Text Classification (Q)
|
93% |
2705
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
55% |
645
16.9 IPS |
