Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1420
Single Precision Score
2631
Half Precision Score
5308
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | DrChandra |
| Upload Date | February 23 2026 02:43 AM |
| Views | 1 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (HP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (Q)
|
99% |
3696
689.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7196
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
9636
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
23812
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
99% |
2251
179.1 IPS |
|
|
Object Detection (Q)
|
86% |
4834
388.5 IPS |
|
|
Face Detection (SP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
6172
73.3 IPS |
|
|
Face Detection (Q)
|
97% |
9260
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1555
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2986
23.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
10579
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9663
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9667
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35054
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2188
81.0 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
321
428.6 IPS |
|
|
Text Classification (Q)
|
97% |
475
636.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1803
31.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1626
32.7 IPS |
