HONOR ROD2-W09
Geekbench AI Score
1065
Single Precision Score
971
Half Precision Score
1693
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1469
273.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
100% |
2020
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1094
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3055
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
6451
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
609
48.5 IPS |
|
|
Object Detection (HP)
|
98% |
615
49.0 IPS |
|
|
Object Detection (Q)
|
83% |
1004
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2232
26.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1510
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1503
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2200
20.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3232
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3217
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
7709
9.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
684
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
684
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1419
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.3 IPS |
|
|
Text Classification (HP)
|
99% |
389
519.1 IPS |
|
|
Text Classification (Q)
|
88% |
569
767.9 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
