Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1473
Single Precision Score
14450
Half Precision Score
33336
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | GUYON |
| Upload Date | September 26 2025 04:42 PM |
| Views | 4 |
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% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
9055
1.68 KIPS |
|
|
Image Classification (Q)
|
99% |
14976
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7896
128.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19989
325.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4216
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
68137
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
223315
261.8 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
10629
843.1 IPS |
|
|
Object Detection (Q)
|
92% |
20126
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
19876
236.2 IPS |
|
|
Face Detection (Q)
|
97% |
57118
681.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1610
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39160
301.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
98468
785.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12269
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52880
68.0 IPS |
|
|
Style Transfer (Q)
|
98% |
239796
309.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27504
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56485
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (Q)
|
95% |
3018
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (Q)
|
67% |
5480
106.6 IPS |
