Microsoft Corporation Surface Pro X
Geekbench AI Score
388
Single Precision Score
400
Half Precision Score
1183
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | Zuluman |
| Upload Date | August 18 2024 08:43 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Microsoft SQ1 @ 3.0 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro X |
| Motherboard | Microsoft Corporation Surface Pro X |
| Power Plan | Ausbalanciert |
| 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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
99% |
756
141.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
3781
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
99% |
195
15.6 IPS |
|
|
Object Detection (Q)
|
88% |
792
63.5 IPS |
|
|
Face Detection (SP)
|
100% |
459
5.45 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.27 IPS |
|
|
Face Detection (Q)
|
97% |
1655
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
547
4.22 IPS |
|
|
Depth Estimation (HP)
|
98% |
633
4.89 IPS |
|
|
Depth Estimation (Q)
|
76% |
2070
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1926
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2985
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6604
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.41 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
681
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.9 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.9 IPS |
|
|
Text Classification (Q)
|
97% |
390
522.2 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
99% |
361
6.24 IPS |
|
|
Machine Translation (Q)
|
60% |
504
11.2 IPS |
