HONOR HEY3-W00
Geekbench AI Score
484
Single Precision Score
535
Half Precision Score
922
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 09:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR HEY3-W00 |
| Model ID | HONOR HEY3-W00 |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
100% |
712
132.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
594
9.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1284
1.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
1979
2.35 IPS |
|
|
Object Detection (SP)
|
98% |
274
21.8 IPS |
|
|
Object Detection (HP)
|
98% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
83% |
575
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.49 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (Q)
|
95% |
1245
14.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
689
5.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
1468
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1679
2.18 IPS |
|
|
Style Transfer (HP)
|
89% |
1631
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5213
6.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1381
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.7 IPS |
|
|
Text Classification (HP)
|
99% |
175
233.5 IPS |
|
|
Text Classification (Q)
|
88% |
296
399.0 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
50% |
237
8.42 IPS |
