Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1491
Single Precision Score
2692
Half Precision Score
5768
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 12 2026 07:20 AM |
| Views | 5 |
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% |
555
103.2 IPS |
|
|
Image Classification (HP)
|
100% |
2166
402.8 IPS |
|
|
Image Classification (Q)
|
99% |
3908
728.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7487
121.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5561
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
9325
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
20924
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
99% |
2083
165.7 IPS |
|
|
Object Detection (Q)
|
86% |
4642
373.1 IPS |
|
|
Face Detection (SP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
6055
71.9 IPS |
|
|
Face Detection (Q)
|
97% |
9173
109.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1763
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2875
22.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
12775
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9969
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8921
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33964
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2361
87.4 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.3 IPS |
|
|
Text Classification (Q)
|
97% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1866
32.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1993
40.0 IPS |
