HONOR HEY3-N09
Geekbench AI Score
692
Single Precision Score
693
Half Precision Score
1363
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 06 2025 06:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR HEY3-N09 |
| Model ID | HONOR HEY3-N09 |
| 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 | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
758
140.9 IPS |
|
|
Image Classification (Q)
|
100% |
1955
363.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1946
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1891
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1837
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
2624
3.11 IPS |
|
|
Object Detection (SP)
|
98% |
362
28.8 IPS |
|
|
Object Detection (HP)
|
98% |
367
29.2 IPS |
|
|
Object Detection (Q)
|
83% |
813
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (Q)
|
95% |
1697
20.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
884
6.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
858
6.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
2117
19.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2220
2.88 IPS |
|
|
Style Transfer (HP)
|
89% |
2219
2.88 IPS |
|
|
Style Transfer (Q)
|
98% |
5217
6.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1413
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
258
343.9 IPS |
|
|
Text Classification (HP)
|
99% |
256
341.6 IPS |
|
|
Text Classification (Q)
|
88% |
423
570.8 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
50% |
245
8.71 IPS |
