HONOR MRO-XXX
Geekbench AI Score
1402
Single Precision Score
2076
Half Precision Score
4136
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | marty0930 |
| Upload Date | June 20 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HONOR MRO-XXX |
| Motherboard | HONOR MRO-XXX-PCB |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (HP)
|
100% |
2716
505.2 IPS |
|
|
Image Classification (Q)
|
99% |
6879
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3381
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2464
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5617
6.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
9164
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.4 IPS |
|
|
Object Detection (HP)
|
99% |
1147
91.3 IPS |
|
|
Object Detection (Q)
|
86% |
2861
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
4261
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1355
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2566
19.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
7875
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7451
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
6600
8.48 IPS |
|
|
Style Transfer (Q)
|
98% |
16607
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3048
112.9 IPS |
|
|
Text Classification (SP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
612
816.4 IPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1300
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1681
33.8 IPS |
