HONOR ROL-W00
Geekbench AI Score
1572
Single Precision Score
1557
Half Precision Score
2557
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 19 2025 12:43 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR ROL-W00 |
| Model ID | HONOR ROL-W00 |
| Motherboard | tb8792p1_64_wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (Q)
|
100% |
1879
349.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2106
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
5453
6.47 IPS |
|
|
Object Detection (SP)
|
98% |
1076
85.6 IPS |
|
|
Object Detection (HP)
|
98% |
1108
88.1 IPS |
|
|
Object Detection (Q)
|
83% |
1693
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
2302
27.4 IPS |
|
|
Face Detection (Q)
|
95% |
4190
50.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2034
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2097
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4322
39.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5659
7.35 IPS |
|
|
Style Transfer (HP)
|
89% |
5635
7.31 IPS |
|
|
Style Transfer (Q)
|
98% |
11469
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2815
104.3 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.1 IPS |
|
|
Text Classification (HP)
|
99% |
578
771.6 IPS |
|
|
Text Classification (Q)
|
88% |
995
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
