HONOR ROD2-W09
Geekbench AI Score
1246
Single Precision Score
1029
Half Precision Score
1449
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 03:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR ROD2-W09 |
| Model ID | HONOR ROD2-W09 |
| Motherboard | pineapple |
| 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% |
1467
272.9 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.8 IPS |
|
|
Image Classification (Q)
|
100% |
1048
194.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1028
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3144
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
2873
3.41 IPS |
|
|
Object Detection (SP)
|
98% |
603
48.0 IPS |
|
|
Object Detection (HP)
|
98% |
569
45.3 IPS |
|
|
Object Detection (Q)
|
83% |
1097
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2299
27.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3043
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1420
11.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2401
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7730
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
3155
4.10 IPS |
|
|
Style Transfer (Q)
|
98% |
5608
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1422
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (HP)
|
99% |
294
392.6 IPS |
|
|
Text Classification (Q)
|
88% |
591
797.3 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
463
16.4 IPS |
