Microsoft Corporation Surface Pro X
Geekbench AI Score
493
Single Precision Score
169
Half Precision Score
173
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | grinceur |
| Upload Date | August 18 2024 04:22 PM |
| Views | 2 |
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% |
206
38.3 IPS |
|
|
Image Classification (HP)
|
100% |
64
11.9 IPS |
|
|
Image Classification (Q)
|
100% |
105
19.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
121
1.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
248
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
74
5.87 IPS |
|
|
Object Detection (Q)
|
89% |
91
7.25 IPS |
|
|
Face Detection (SP)
|
100% |
627
7.45 IPS |
|
|
Face Detection (HP)
|
100% |
126
1.50 IPS |
|
|
Face Detection (Q)
|
97% |
245
2.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
265
2.05 IPS |
|
|
Depth Estimation (Q)
|
73% |
257
2.10 IPS |
|
|
Style Transfer (SP)
|
100% |
2168
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1061
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
650
0.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.95 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
140
5.18 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.4 IPS |
|
|
Text Classification (HP)
|
100% |
125
166.6 IPS |
|
|
Text Classification (Q)
|
97% |
107
143.0 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
99% |
179
3.10 IPS |
|
|
Machine Translation (Q)
|
59% |
139
3.20 IPS |
