HONOR MTN-NX1M
Geekbench AI Score
862
Single Precision Score
761
Half Precision Score
1518
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 26 2026 08:51 AM |
| Views | 5 |
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% |
900
167.3 IPS |
|
|
Image Classification (HP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (Q)
|
100% |
826
153.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
817
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1955
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
5245
6.22 IPS |
|
|
Object Detection (SP)
|
98% |
416
33.1 IPS |
|
|
Object Detection (HP)
|
98% |
412
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
910
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (Q)
|
95% |
3959
47.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
961
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
904
6.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
2142
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2293
2.98 IPS |
|
|
Style Transfer (HP)
|
89% |
2308
3.00 IPS |
|
|
Style Transfer (Q)
|
98% |
11524
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1270
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.6 IPS |
|
|
Text Classification (HP)
|
99% |
340
454.0 IPS |
|
|
Text Classification (Q)
|
88% |
500
674.9 IPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.3 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
