HONOR ROD2-W09
Geekbench AI Score
440
Single Precision Score
442
Half Precision Score
28691
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
269
49.9 IPS |
|
|
Image Classification (Q)
|
97% |
27133
5.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
19651
319.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
147553
172.7 IPS |
|
|
Object Detection (SP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
86% |
12765
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (HP)
|
100% |
636
7.55 IPS |
|
|
Face Detection (Q)
|
97% |
66035
787.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
570
4.39 IPS |
|
|
Depth Estimation (Q)
|
63% |
63332
593.0 IPS |
|
|
Style Transfer (SP)
|
100% |
946
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
220613
284.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
45838
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
403
537.9 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.7 IPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1565
41.0 IPS |
