HONOR MRO-XXX
Geekbench AI Score
1681
Single Precision Score
2489
Half Precision Score
5414
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 12 2025 12:17 PM |
| Views | 4 |
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 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% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
2152
400.3 IPS |
|
|
Image Classification (Q)
|
99% |
6318
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1355
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4790
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
21243
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
815
64.7 IPS |
|
|
Object Detection (HP)
|
99% |
1542
122.6 IPS |
|
|
Object Detection (Q)
|
86% |
5664
455.2 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
6261
74.4 IPS |
|
|
Face Detection (Q)
|
97% |
9455
112.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2357
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3135
24.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
7547
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7445
9.57 IPS |
|
|
Style Transfer (HP)
|
100% |
8149
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23246
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1109
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
656
876.1 IPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2595
44.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2809
56.4 IPS |
