Microsoft Corporation Surface Pro X
Geekbench AI Score
364
Single Precision Score
392
Half Precision Score
1040
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | Zuluman |
| Upload Date | September 06 2024 09:07 AM |
| Views | 14 |
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% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
99% |
687
128.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
747
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
3439
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.58 IPS |
|
|
Object Detection (HP)
|
99% |
129
10.3 IPS |
|
|
Object Detection (Q)
|
88% |
442
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (Q)
|
97% |
887
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
387
2.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
535
4.14 IPS |
|
|
Depth Estimation (Q)
|
77% |
1613
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1993
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3036
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
7404
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
356
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
856
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
380
506.8 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.8 IPS |
|
|
Text Classification (Q)
|
97% |
502
672.6 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (HP)
|
99% |
384
6.64 IPS |
|
|
Machine Translation (Q)
|
60% |
418
9.32 IPS |
