Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
397
Single Precision Score
593
Half Precision Score
1355
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | psj04 |
| Upload Date | July 24 2025 02:50 PM |
| Views | 5 |
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 Home (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% |
113
21.0 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
987
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1330
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
4255
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
99% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
86% |
741
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.65 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
2936
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
444
3.42 IPS |
|
|
Depth Estimation (HP)
|
98% |
726
5.61 IPS |
|
|
Depth Estimation (Q)
|
79% |
1719
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3721
4.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3881
4.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6898
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
710
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
215
287.2 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.0 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.9 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
99% |
538
9.30 IPS |
|
|
Machine Translation (Q)
|
65% |
785
15.8 IPS |
