Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1506
Single Precision Score
15088
Half Precision Score
34764
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 12 2026 07:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
571
106.1 IPS |
|
|
Image Classification (HP)
|
100% |
10285
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
17405
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7908
128.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20698
336.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5914
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
70711
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
237782
278.7 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.6 IPS |
|
|
Object Detection (HP)
|
100% |
11024
874.4 IPS |
|
|
Object Detection (Q)
|
92% |
17974
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
21344
253.6 IPS |
|
|
Face Detection (Q)
|
97% |
56539
674.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1780
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40715
313.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
98637
787.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10874
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53022
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
241369
311.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27713
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56284
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
604
806.2 IPS |
|
|
Text Classification (HP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (Q)
|
95% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (Q)
|
67% |
6101
118.7 IPS |
