HONOR ROD2-W69
Geekbench AI Score
364
Single Precision Score
363
Half Precision Score
27523
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM SM8635 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR ROD2-W69 |
| Model ID | HONOR ROD2-W69 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM8635 |
| 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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
97% |
25268
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
18863
306.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
271
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
139378
163.1 IPS |
|
|
Object Detection (SP)
|
100% |
151
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
151
11.9 IPS |
|
|
Object Detection (Q)
|
86% |
11112
893.5 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.03 IPS |
|
|
Face Detection (Q)
|
97% |
56559
674.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
358
2.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.74 IPS |
|
|
Depth Estimation (Q)
|
63% |
59283
555.1 IPS |
|
|
Style Transfer (SP)
|
100% |
650
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
651
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
203699
262.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55125
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (HP)
|
100% |
430
573.7 IPS |
|
|
Text Classification (Q)
|
93% |
5684
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
55% |
1579
41.4 IPS |
