HONOR MRO-XXX
Geekbench AI Score
2096
Single Precision Score
15460
Half Precision Score
26949
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 06 2025 07:45 PM |
| Views | 1 |
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 (64-bit) |
| Model | HONOR MRO-XXX |
| Motherboard | HONOR MRO-XXX-PCB |
| Power Plan | Balanced |
| 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
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
10615
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
16762
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7403
120.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9850
160.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6155
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
70240
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
243108
285.0 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.5 IPS |
|
|
Object Detection (HP)
|
100% |
10768
854.2 IPS |
|
|
Object Detection (Q)
|
92% |
12610
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
22361
265.7 IPS |
|
|
Face Detection (Q)
|
97% |
46144
550.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2462
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42245
325.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
101674
815.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15809
20.3 IPS |
|
|
Style Transfer (HP)
|
98% |
57377
74.0 IPS |
|
|
Style Transfer (Q)
|
98% |
210760
271.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29280
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43088
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
95% |
3668
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (Q)
|
67% |
2555
49.7 IPS |
