HONOR CHG-W60
Geekbench AI Score
1627
Single Precision Score
1603
Half Precision Score
2457
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 10:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM8650 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR CHG-W60 |
| Model ID | HONOR CHG-W60 |
| Motherboard | CGL |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM SM8650 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
1759
327.2 IPS |
|
|
Image Classification (Q)
|
100% |
2658
494.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3835
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4103
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4027
4.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
5003
5.93 IPS |
|
|
Object Detection (SP)
|
98% |
874
69.6 IPS |
|
|
Object Detection (HP)
|
98% |
873
69.5 IPS |
|
|
Object Detection (Q)
|
83% |
1485
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
3234
38.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2020
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3854
35.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4498
5.84 IPS |
|
|
Style Transfer (HP)
|
89% |
4476
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
9651
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1091
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2395
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.6 IPS |
|
|
Text Classification (HP)
|
99% |
574
766.7 IPS |
|
|
Text Classification (Q)
|
88% |
667
899.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
553
19.6 IPS |
