HONOR MRO-XXX
Geekbench AI Score
1866
Single Precision Score
15925
Half Precision Score
35585
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | marty0930 |
| Upload Date | June 20 2025 01:35 PM |
| Views | 4 |
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 (64-bit) |
| Model | HONOR MRO-XXX |
| Motherboard | HONOR MRO-XXX-PCB |
| 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% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
10532
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
17701
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8029
130.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17170
279.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
70678
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
240441
281.8 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
10994
872.0 IPS |
|
|
Object Detection (Q)
|
92% |
19299
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
24184
287.4 IPS |
|
|
Face Detection (Q)
|
97% |
59577
710.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2390
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42261
325.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
107439
857.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14220
18.3 IPS |
|
|
Style Transfer (HP)
|
98% |
57669
74.4 IPS |
|
|
Style Transfer (Q)
|
98% |
259309
334.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2206
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29825
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64206
2.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
95% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2215
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (Q)
|
67% |
6105
118.8 IPS |
