Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
868
Single Precision Score
1567
Half Precision Score
2985
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 09 2025 10:25 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 Enterprise Insider Preview (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Balanced |
| 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% |
497
92.4 IPS |
|
|
Image Classification (HP)
|
100% |
1806
336.0 IPS |
|
|
Image Classification (Q)
|
99% |
5455
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2704
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
7596
8.91 IPS |
|
|
Object Detection (SP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (HP)
|
99% |
1201
95.6 IPS |
|
|
Object Detection (Q)
|
86% |
4666
375.0 IPS |
|
|
Face Detection (SP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (Q)
|
97% |
1915
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.90 IPS |
|
|
Depth Estimation (HP)
|
98% |
1030
7.96 IPS |
|
|
Depth Estimation (Q)
|
79% |
4874
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4112
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
8065
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13459
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
378
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1305
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
410
546.8 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.0 IPS |
|
|
Text Classification (Q)
|
97% |
635
851.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1659
28.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2988
60.0 IPS |
