Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1745
Single Precision Score
16085
Half Precision Score
38558
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Exiledfathom |
| Upload Date | February 12 2026 08:30 PM |
| Views | 8 |
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 Pro (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 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% |
615
114.4 IPS |
|
|
Image Classification (HP)
|
100% |
10212
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
17031
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8052
130.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22177
360.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5681
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
71005
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
245691
288.0 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.0 IPS |
|
|
Object Detection (HP)
|
100% |
11176
886.5 IPS |
|
|
Object Detection (Q)
|
92% |
21212
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
24039
285.6 IPS |
|
|
Face Detection (Q)
|
97% |
69642
830.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2188
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41716
321.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
105072
838.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14089
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53611
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
242839
313.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27855
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56691
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (Q)
|
95% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (Q)
|
67% |
9854
191.8 IPS |
