HONOR ELI-NX9
Geekbench AI Score
488
Single Precision Score
500
Half Precision Score
902
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | TechnoCat |
| Upload Date | September 28 2024 10:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR ELI-NX9 |
| Model ID | HONOR ELI-NX9 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.7 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
571
9.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1344
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
2658
3.15 IPS |
|
|
Object Detection (SP)
|
98% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
98% |
265
21.1 IPS |
|
|
Object Detection (Q)
|
83% |
768
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.52 IPS |
|
|
Face Detection (Q)
|
95% |
1206
14.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
691
5.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
704
5.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
2060
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1664
2.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2299
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
3719
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
386
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.9 IPS |
|
|
Text Classification (HP)
|
99% |
174
232.6 IPS |
|
|
Text Classification (Q)
|
88% |
296
399.6 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
50% |
178
6.33 IPS |
