HONOR ELP-NX9
Geekbench AI Score
1153
Single Precision Score
1231
Half Precision Score
1345
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 09:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR ELP-NX9 |
| Model ID | HONOR ELP-NX9 |
| Motherboard | ELP |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
100% |
787
146.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2349
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2460
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2424
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
2257
2.68 IPS |
|
|
Object Detection (SP)
|
98% |
463
36.8 IPS |
|
|
Object Detection (HP)
|
98% |
947
75.3 IPS |
|
|
Object Detection (Q)
|
83% |
859
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
1748
20.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2475
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1218
9.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
4110
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5966
7.74 IPS |
|
|
Style Transfer (HP)
|
89% |
5964
7.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4362
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1125
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.6 IPS |
|
|
Text Classification (HP)
|
99% |
588
784.3 IPS |
|
|
Text Classification (Q)
|
88% |
424
572.5 IPS |
|
|
Machine Translation (SP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
50% |
363
12.9 IPS |
