Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1981
Single Precision Score
3279
Half Precision Score
7091
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | chimpur |
| Upload Date | July 02 2025 06:42 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 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% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.8 IPS |
|
|
Image Classification (Q)
|
99% |
6553
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3447
55.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9158
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6639
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
9878
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
24978
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
911
72.3 IPS |
|
|
Object Detection (HP)
|
99% |
2419
192.5 IPS |
|
|
Object Detection (Q)
|
86% |
6669
536.0 IPS |
|
|
Face Detection (SP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
97% |
10819
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2413
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3613
27.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
15021
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15232
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10235
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32487
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2050
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (Q)
|
97% |
1007
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (HP)
|
99% |
3156
54.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2951
59.3 IPS |
