HONOR BRP-NX1M
Geekbench AI Score
616
Single Precision Score
607
Half Precision Score
1305
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 05:38 PM |
| Views | 1 |
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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
100% |
1342
249.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1558
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1969
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1955
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3474
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
83% |
1290
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
3157
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3156
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3335
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
3357
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
7906
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
224
8.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
561
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
140
187.4 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.3 IPS |
|
|
Text Classification (Q)
|
88% |
229
309.0 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.38 IPS |
