HONOR MRO-XXX
Geekbench AI Score
1725
Single Precision Score
3013
Half Precision Score
5813
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | calvin_hobbes |
| Upload Date | September 18 2025 08:38 AM |
| Views | 3 |
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 Professionnel (64-bit) |
| Model | HONOR MRO-XXX |
| Motherboard | HONOR MRO-XXX-PCB |
| Power Plan | Utilisation normale |
| 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% |
639
118.9 IPS |
|
|
Image Classification (HP)
|
100% |
2487
462.5 IPS |
|
|
Image Classification (Q)
|
99% |
3768
702.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3302
53.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7853
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
8972
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
21760
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (HP)
|
99% |
2332
185.5 IPS |
|
|
Object Detection (Q)
|
86% |
4700
377.7 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
6584
78.2 IPS |
|
|
Face Detection (Q)
|
97% |
9963
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2098
16.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3620
28.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
13076
103.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15102
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11753
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28368
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2565
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
476
635.5 IPS |
|
|
Text Classification (Q)
|
97% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1880
32.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1985
39.9 IPS |
