Microsoft Corporation Surface Pro X
Geekbench AI Score
454
Single Precision Score
648
Half Precision Score
1469
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 19 2024 01:16 AM |
| Views | 17 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
1102
205.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
853
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
3683
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
99% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
86% |
1161
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
588
6.99 IPS |
|
|
Face Detection (HP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
2263
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
613
4.73 IPS |
|
|
Depth Estimation (HP)
|
98% |
896
6.93 IPS |
|
|
Depth Estimation (Q)
|
79% |
2352
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2118
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3366
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7659
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
266
9.83 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
324
432.9 IPS |
|
|
Text Classification (HP)
|
100% |
216
287.7 IPS |
|
|
Text Classification (Q)
|
97% |
530
709.5 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
99% |
451
7.79 IPS |
|
|
Machine Translation (Q)
|
65% |
582
11.7 IPS |
