Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1469
Single Precision Score
2602
Half Precision Score
5701
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| Upload Date | February 09 2026 03:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.4 IPS |
|
|
Image Classification (Q)
|
99% |
3899
727.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7394
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4716
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
8563
9.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
21101
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
99% |
1881
149.6 IPS |
|
|
Object Detection (Q)
|
86% |
4574
367.6 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
5969
70.9 IPS |
|
|
Face Detection (Q)
|
97% |
9797
116.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3126
24.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
12830
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13418
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8421
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31900
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2133
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
477
637.0 IPS |
|
|
Text Classification (Q)
|
97% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1970
34.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1932
38.8 IPS |
