HONOR LGE-NX9
Geekbench AI Score
1087
Single Precision Score
1082
Half Precision Score
2448
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 12:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
100% |
1792
333.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1933
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2428
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
4920
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1774
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (Q)
|
95% |
3852
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2144
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2146
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4098
37.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3740
4.86 IPS |
|
|
Style Transfer (HP)
|
89% |
3732
4.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10408
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1185
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2685
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
525
701.3 IPS |
|
|
Text Classification (HP)
|
100% |
510
680.7 IPS |
|
|
Text Classification (Q)
|
88% |
1003
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
