HONOR BRP-NX1M
Geekbench AI Score
158
Single Precision Score
220
Half Precision Score
224
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 08:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
97% |
205
38.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
276
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
89% |
133
10.6 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (Q)
|
97% |
471
5.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
445
3.43 IPS |
|
|
Depth Estimation (Q)
|
63% |
368
3.46 IPS |
|
|
Style Transfer (SP)
|
100% |
601
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1213
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1226
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
139
5.15 IPS |
|
|
Text Classification (SP)
|
100% |
47
62.1 IPS |
|
|
Text Classification (HP)
|
100% |
47
62.5 IPS |
|
|
Text Classification (Q)
|
91% |
90
121.3 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (HP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.79 IPS |
