HONOR LGE-NX9
Geekbench AI Score
1067
Single Precision Score
1089
Half Precision Score
2508
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | slavatsarev |
| Upload Date | January 03 2025 05:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR LGE-NX9 |
| Model ID | HONOR LGE-NX9 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
100% |
1988
369.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2221
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
4923
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
1764
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
4111
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2074
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2098
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4078
37.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3709
4.82 IPS |
|
|
Style Transfer (HP)
|
89% |
3706
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
10343
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1228
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2624
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
554
739.1 IPS |
|
|
Text Classification (HP)
|
100% |
564
752.6 IPS |
|
|
Text Classification (Q)
|
88% |
1062
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
