Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1447
Single Precision Score
2670
Half Precision Score
5720
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | September 17 2025 10:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.1 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (Q)
|
99% |
3740
697.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6776
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4828
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
8863
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
23679
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
99% |
1774
141.1 IPS |
|
|
Object Detection (Q)
|
86% |
4230
340.0 IPS |
|
|
Face Detection (SP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
6108
72.6 IPS |
|
|
Face Detection (Q)
|
97% |
9289
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1858
14.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2948
22.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
11656
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14782
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9837
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34727
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2459
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.4 IPS |
|
|
Text Classification (Q)
|
97% |
750
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1861
32.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2131
42.8 IPS |
