Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1369
Single Precision Score
13929
Half Precision Score
31056
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 13 2025 12:35 AM |
| Views | 2 |
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 Pro (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% |
396
73.7 IPS |
|
|
Image Classification (HP)
|
100% |
8178
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
16478
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7666
124.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19728
320.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5046
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
68022
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
217126
254.5 IPS |
|
|
Object Detection (SP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (HP)
|
100% |
8503
674.5 IPS |
|
|
Object Detection (Q)
|
92% |
17368
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
20626
245.1 IPS |
|
|
Face Detection (Q)
|
97% |
41688
497.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1587
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39324
303.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
90235
720.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7617
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
51535
66.2 IPS |
|
|
Style Transfer (Q)
|
98% |
234275
302.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26527
979.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
51679
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (Q)
|
95% |
3097
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (Q)
|
67% |
4827
93.9 IPS |
