HONOR MRO-XXX
Geekbench AI Score
2067
Single Precision Score
3265
Half Precision Score
6497
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 06 2025 07:41 PM |
| Views | 1 |
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 (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% |
728
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
3127
581.5 IPS |
|
|
Image Classification (Q)
|
99% |
6666
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3240
52.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6251
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
7241
8.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
20735
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
816
64.8 IPS |
|
|
Object Detection (HP)
|
99% |
2329
185.3 IPS |
|
|
Object Detection (Q)
|
86% |
6383
513.0 IPS |
|
|
Face Detection (SP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
7047
83.7 IPS |
|
|
Face Detection (Q)
|
97% |
11096
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2414
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3862
29.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
11831
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14540
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11172
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35168
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2212
81.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3738
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
660
881.4 IPS |
|
|
Text Classification (Q)
|
97% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2597
44.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3033
60.9 IPS |
