Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1442
Single Precision Score
2532
Half Precision Score
5433
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | September 22 2025 09:18 PM |
| Views | 2 |
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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.6 IPS |
|
|
Image Classification (Q)
|
99% |
3952
737.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6799
110.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3380
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6988
8.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
19092
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
99% |
1768
140.6 IPS |
|
|
Object Detection (Q)
|
86% |
4041
324.7 IPS |
|
|
Face Detection (SP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
6126
72.8 IPS |
|
|
Face Detection (Q)
|
97% |
9633
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1788
13.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2966
22.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
12373
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11243
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9679
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33450
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2330
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
400
533.3 IPS |
|
|
Text Classification (Q)
|
97% |
601
805.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1983
34.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1938
39.0 IPS |
