HONOR ROD2-W09
Geekbench AI Score
803
Single Precision Score
1144
Half Precision Score
1162
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
96% |
434
81.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1565
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
808
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1408
1.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1402
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (Q)
|
87% |
714
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2124
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1196
9.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1841
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4111
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
6656
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6595
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
773
28.6 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.2 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.6 IPS |
|
|
Text Classification (Q)
|
91% |
652
876.0 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
512
12.5 IPS |
