Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1385
Single Precision Score
18764
Half Precision Score
49643
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | bdesigner |
| Upload Date | March 29 2026 03:23 PM |
| Views | 6 |
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 Entreprise (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Utilisation normale |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (HP)
|
100% |
13771
2.56 KIPS |
|
|
Image Classification (Q)
|
99% |
28162
5.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8468
137.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24382
396.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5614
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
72269
84.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
256096
300.2 IPS |
|
|
Object Detection (SP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (HP)
|
100% |
13036
1.03 KIPS |
|
|
Object Detection (Q)
|
92% |
26969
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
26683
317.1 IPS |
|
|
Face Detection (Q)
|
97% |
70559
841.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1665
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45320
349.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
113913
909.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9334
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53989
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
266017
343.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33024
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74659
2.76 KIPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
95% |
11066
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5474
94.3 IPS |
|
|
Machine Translation (Q)
|
67% |
10852
211.2 IPS |
