Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1457
Single Precision Score
2528
Half Precision Score
5090
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 13 2025 10:37 AM |
| 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 Pro (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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
2173
404.1 IPS |
|
|
Image Classification (Q)
|
99% |
3438
641.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
2643
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6559
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5312
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
7971
9.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
20097
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
99% |
1957
155.7 IPS |
|
|
Object Detection (Q)
|
86% |
4185
336.4 IPS |
|
|
Face Detection (SP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
5397
64.1 IPS |
|
|
Face Detection (Q)
|
97% |
8635
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1664
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3039
23.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
11128
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13171
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9498
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32396
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1972
73.0 IPS |
|
|
Text Classification (SP)
|
100% |
652
869.9 IPS |
|
|
Text Classification (HP)
|
100% |
383
511.5 IPS |
|
|
Text Classification (Q)
|
97% |
578
774.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1752
30.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1737
34.9 IPS |
