HONOR ELP-NX9
Geekbench AI Score
404
Single Precision Score
404
Half Precision Score
26243
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 12:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.1 IPS |
|
|
Image Classification (Q)
|
97% |
23275
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
18247
296.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
133170
155.9 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
86% |
11371
914.3 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
97% |
62893
750.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
60325
564.9 IPS |
|
|
Style Transfer (SP)
|
100% |
852
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
196104
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
261
9.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37217
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
379
506.3 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.3 IPS |
|
|
Text Classification (Q)
|
93% |
5639
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1543
40.4 IPS |
