Microsoft Corporation Surface Pro X
Geekbench AI Score
488
Single Precision Score
168
Half Precision Score
172
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | grinceur |
| Upload Date | August 18 2024 04:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Microsoft SQ1 @ 3.0 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Microsoft Corporation Surface Pro X |
| Motherboard | Microsoft Corporation Surface Pro X |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Microsoft SQ1 @ 3.0 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 805 Revision D0E |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
64
11.9 IPS |
|
|
Image Classification (Q)
|
100% |
105
19.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
122
1.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
840
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
247
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
99% |
71
5.64 IPS |
|
|
Object Detection (Q)
|
89% |
90
7.23 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
126
1.49 IPS |
|
|
Face Detection (Q)
|
97% |
244
2.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
264
2.04 IPS |
|
|
Depth Estimation (Q)
|
73% |
257
2.10 IPS |
|
|
Style Transfer (SP)
|
100% |
2174
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
647
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
405
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
187
6.89 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
140
5.17 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.8 IPS |
|
|
Text Classification (HP)
|
100% |
124
166.2 IPS |
|
|
Text Classification (Q)
|
97% |
106
142.3 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (HP)
|
99% |
174
3.00 IPS |
|
|
Machine Translation (Q)
|
59% |
138
3.20 IPS |
