HONOR MTN-NX1M
Geekbench AI Score
805
Single Precision Score
738
Half Precision Score
1286
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 05:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR MTN-NX1M |
| Model ID | HONOR MTN-NX1M |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
792
147.2 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
100% |
863
160.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1248
1.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
5281
6.26 IPS |
|
|
Object Detection (SP)
|
98% |
421
33.5 IPS |
|
|
Object Detection (HP)
|
98% |
416
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
899
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.80 IPS |
|
|
Face Detection (HP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (Q)
|
95% |
1762
21.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1577
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
923
7.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
2121
19.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2307
2.99 IPS |
|
|
Style Transfer (HP)
|
89% |
4313
5.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4612
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1215
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
350
466.5 IPS |
|
|
Text Classification (HP)
|
99% |
278
370.4 IPS |
|
|
Text Classification (Q)
|
88% |
510
687.9 IPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
