HONOR ROD2-W09
Geekbench AI Score
1289
Single Precision Score
1989
Half Precision Score
1479
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:08 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% |
1001
186.2 IPS |
|
|
Image Classification (HP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (Q)
|
100% |
1160
215.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1956
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6860
8.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
11862
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11390
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
99% |
995
78.9 IPS |
|
|
Object Detection (Q)
|
87% |
828
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4213
50.1 IPS |
|
|
Face Detection (Q)
|
97% |
3523
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3581
27.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5576
43.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
4285
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8364
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16250
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15901
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2475
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2488
92.2 IPS |
|
|
Text Classification (SP)
|
35% |
33
317.8 IPS |
|
|
Text Classification (HP)
|
35% |
44
398.3 IPS |
|
|
Text Classification (Q)
|
33% |
31
377.3 IPS |
|
|
Machine Translation (SP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (HP)
|
97% |
557
9.64 IPS |
|
|
Machine Translation (Q)
|
43% |
127
7.24 IPS |
