HONOR ELP-NX9
Geekbench AI Score
1272
Single Precision Score
1204
Half Precision Score
1667
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | sebeg_the_tea_boii |
| Upload Date | August 21 2024 09:23 PM |
| Views | 6 |
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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (Q)
|
100% |
1300
241.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
960
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2712
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1604
1.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
5232
6.21 IPS |
|
|
Object Detection (SP)
|
98% |
584
46.4 IPS |
|
|
Object Detection (HP)
|
98% |
1425
113.4 IPS |
|
|
Object Detection (Q)
|
87% |
1074
86.2 IPS |
|
|
Face Detection (SP)
|
100% |
976
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
4947
59.1 IPS |
|
|
Depth Estimation (SP)
|
98% |
2475
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2457
19.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
2428
19.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6714
8.72 IPS |
|
|
Style Transfer (HP)
|
89% |
6169
8.01 IPS |
|
|
Style Transfer (Q)
|
98% |
5311
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1155
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1351
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
666
888.5 IPS |
|
|
Text Classification (HP)
|
99% |
323
431.4 IPS |
|
|
Text Classification (Q)
|
88% |
513
692.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
535
19.0 IPS |
