HONOR HEY2-W09
Geekbench AI Score
194
Single Precision Score
194
Half Precision Score
471
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 21 2026 06:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM6450 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HONOR HEY2-W09 |
| Model ID | HONOR HEY2-W09 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM6450 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
308
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
209
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
804
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.05 IPS |
|
|
Object Detection (Q)
|
87% |
333
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.51 IPS |
|
|
Face Detection (Q)
|
97% |
674
8.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
634
5.75 IPS |
|
|
Style Transfer (SP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1216
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
447
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.6 IPS |
|
|
Text Classification (Q)
|
91% |
316
425.4 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.34 IPS |
