HONOR ROL-W00
Geekbench AI Score
1129
Single Precision Score
4362
Half Precision Score
4503
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 19 2025 12:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1040
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
3923
729.6 IPS |
|
|
Image Classification (Q)
|
99% |
7450
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4133
67.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1798
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9187
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17497
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72879
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (HP)
|
100% |
4109
326.0 IPS |
|
|
Object Detection (Q)
|
86% |
4860
390.9 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
9614
114.2 IPS |
|
|
Face Detection (Q)
|
97% |
11154
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
820
6.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
18759
144.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
30643
291.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3080
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
532
0.68 IPS |
|
|
Style Transfer (Q)
|
30% |
491
7.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2669
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10269
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7117
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
102
135.7 IPS |
|
|
Text Classification (HP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1676
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (Q)
|
60% |
361
8.14 IPS |
