Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1550
Single Precision Score
15003
Half Precision Score
36304
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| Upload Date | February 09 2026 04:05 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 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Bilanciato |
| 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% |
567
105.4 IPS |
|
|
Image Classification (HP)
|
100% |
9179
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
16355
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
7805
126.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20969
341.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
68612
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
218834
256.5 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
10428
827.2 IPS |
|
|
Object Detection (Q)
|
92% |
19816
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
21980
261.2 IPS |
|
|
Face Detection (Q)
|
97% |
62296
742.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1685
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37725
290.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
92447
737.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13541
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52380
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
237467
306.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28740
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55381
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (Q)
|
95% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4047
69.7 IPS |
|
|
Machine Translation (Q)
|
67% |
8935
173.9 IPS |
