Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1725
Single Precision Score
15872
Half Precision Score
37687
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | GUYON |
| Upload Date | November 08 2025 12:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (HP)
|
100% |
10173
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
16432
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8078
131.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21799
354.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5459
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
70186
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
244031
286.0 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (HP)
|
100% |
11077
878.7 IPS |
|
|
Object Detection (Q)
|
92% |
20325
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
24149
286.9 IPS |
|
|
Face Detection (Q)
|
97% |
67227
801.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2340
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41921
323.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
103326
824.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13245
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53193
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
249903
322.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27841
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55372
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
95% |
3550
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4701
81.0 IPS |
|
|
Machine Translation (Q)
|
67% |
9534
185.5 IPS |
