HONOR MRO-XXX
Geekbench AI Score
2024
Single Precision Score
13700
Half Precision Score
22618
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 12 2025 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview (64-bit) |
| Model | HONOR MRO-XXX |
| Motherboard | HONOR MRO-XXX-PCB |
| Power Plan | Ausbalanciert |
| 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% |
692
128.7 IPS |
|
|
Image Classification (HP)
|
100% |
8141
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
11459
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7278
118.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9035
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
68597
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
226909
266.0 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
9924
787.1 IPS |
|
|
Object Detection (Q)
|
92% |
11198
893.8 IPS |
|
|
Face Detection (SP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
20785
247.0 IPS |
|
|
Face Detection (Q)
|
97% |
40986
488.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2485
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
39921
307.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
92327
740.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15132
19.5 IPS |
|
|
Style Transfer (HP)
|
98% |
56053
72.3 IPS |
|
|
Style Transfer (Q)
|
98% |
202963
261.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2252
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24693
911.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34704
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (Q)
|
95% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (Q)
|
67% |
2342
45.6 IPS |
