HONOR ALT-NX1
Geekbench AI Score
570
Single Precision Score
564
Half Precision Score
1073
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 08:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR ALT-NX1 |
| Model ID | HONOR ALT-NX1 |
| 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 | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.8 IPS |
|
|
Image Classification (Q)
|
100% |
709
131.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1236
1.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
1750
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (Q)
|
83% |
726
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
814
9.67 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (Q)
|
95% |
1699
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1085
8.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
1089
8.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
1658
15.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2075
2.69 IPS |
|
|
Style Transfer (HP)
|
89% |
2067
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4188
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.4 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.5 IPS |
|
|
Text Classification (Q)
|
88% |
608
819.9 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
