HONOR ROD2-W09
Geekbench AI Score
432
Single Precision Score
434
Half Precision Score
995
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Annihilator |
| Upload Date | December 31 2024 08:44 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
266
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
99% |
692
129.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1807
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
87% |
746
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
624
7.41 IPS |
|
|
Face Detection (HP)
|
100% |
627
7.46 IPS |
|
|
Face Detection (Q)
|
97% |
1457
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
542
4.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1277
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
909
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
913
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2235
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
985
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.4 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.8 IPS |
|
|
Text Classification (Q)
|
91% |
667
896.8 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
525
12.8 IPS |
