Microsoft Corporation Surface Pro X
Geekbench AI Score
386
Single Precision Score
409
Half Precision Score
1171
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | Zuluman |
| Upload Date | August 15 2024 07:55 PM |
| Views | 15 |
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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
646
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
819
0.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
3547
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
99% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
88% |
817
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
1614
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
539
4.15 IPS |
|
|
Depth Estimation (HP)
|
98% |
632
4.89 IPS |
|
|
Depth Estimation (Q)
|
76% |
2125
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1574
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
2804
3.60 IPS |
|
|
Style Transfer (Q)
|
98% |
6959
8.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
226
8.35 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
819
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
323
430.6 IPS |
|
|
Text Classification (HP)
|
100% |
115
154.0 IPS |
|
|
Text Classification (Q)
|
97% |
347
464.2 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
99% |
340
5.87 IPS |
|
|
Machine Translation (Q)
|
60% |
492
11.0 IPS |
