Microsoft Corporation Surface Pro X
Geekbench AI Score
415
Single Precision Score
433
Half Precision Score
1209
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | Zuluman |
| Upload Date | August 17 2024 06:16 PM |
| Views | 5 |
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% |
177
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
99% |
834
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
807
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
837
0.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
3850
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
99% |
203
16.2 IPS |
|
|
Object Detection (Q)
|
88% |
766
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
461
5.47 IPS |
|
|
Face Detection (Q)
|
97% |
1106
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
701
5.42 IPS |
|
|
Depth Estimation (Q)
|
76% |
2221
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1992
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3285
4.22 IPS |
|
|
Style Transfer (Q)
|
98% |
7721
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
386
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.68 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
840
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
358
477.5 IPS |
|
|
Text Classification (HP)
|
100% |
129
171.9 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.7 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
99% |
344
5.95 IPS |
|
|
Machine Translation (Q)
|
60% |
479
10.7 IPS |
