Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1495
Single Precision Score
2719
Half Precision Score
5705
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 31 2026 10:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (Q)
|
99% |
3838
715.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7842
127.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6274
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
9596
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
23763
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
2342
186.3 IPS |
|
|
Object Detection (Q)
|
86% |
4678
376.0 IPS |
|
|
Face Detection (SP)
|
100% |
1410
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
6161
73.2 IPS |
|
|
Face Detection (Q)
|
97% |
9251
110.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1698
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2947
22.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
13187
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15033
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9930
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36352
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2222
82.3 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
456
609.2 IPS |
|
|
Text Classification (Q)
|
97% |
526
705.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1797
31.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2108
42.4 IPS |
