HONOR ELP-NX9
Geekbench AI Score
1190
Single Precision Score
1161
Half Precision Score
1680
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | saborinja |
| Upload Date | January 27 2026 03:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (Q)
|
100% |
2152
400.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2199
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2524
2.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
5092
6.04 IPS |
|
|
Object Detection (SP)
|
98% |
971
77.3 IPS |
|
|
Object Detection (HP)
|
98% |
1142
90.8 IPS |
|
|
Object Detection (Q)
|
83% |
967
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2079
24.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1369
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2644
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2286
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6254
8.12 IPS |
|
|
Style Transfer (HP)
|
89% |
5083
6.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5487
7.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1394
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
319
426.2 IPS |
|
|
Text Classification (HP)
|
99% |
284
379.5 IPS |
|
|
Text Classification (Q)
|
88% |
505
681.8 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.93 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
420
14.9 IPS |
