HONOR ROD2-W09
Geekbench AI Score
813
Single Precision Score
1106
Half Precision Score
1058
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Annihilator |
| Upload Date | December 31 2024 08:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
593
110.3 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
96% |
470
87.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
848
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1404
1.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1392
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
453
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
87% |
747
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1407
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1193
9.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
2123
16.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1728
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4106
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
6735
8.66 IPS |
|
|
Style Transfer (Q)
|
98% |
6557
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
760
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
391
522.4 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.7 IPS |
|
|
Text Classification (Q)
|
91% |
676
908.9 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
521
12.7 IPS |
