Microsoft Corporation Surface Pro X
Geekbench AI Score
447
Single Precision Score
475
Half Precision Score
1178
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 03:41 PM |
| Views | 2 |
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 | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
99% |
709
132.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
828
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
825
0.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
3677
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
99% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
88% |
787
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
565
6.72 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (Q)
|
97% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
98% |
749
5.79 IPS |
|
|
Depth Estimation (Q)
|
77% |
2094
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2045
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3253
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
7513
9.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.61 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
999
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
397
529.5 IPS |
|
|
Text Classification (HP)
|
100% |
138
183.6 IPS |
|
|
Text Classification (Q)
|
97% |
235
314.2 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (HP)
|
99% |
455
7.86 IPS |
|
|
Machine Translation (Q)
|
60% |
489
10.9 IPS |
