Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
692
Single Precision Score
1200
Half Precision Score
2477
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| Upload Date | March 24 2026 04:19 PM |
| Views | 7 |
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 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
99% |
1143
213.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1580
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1341
1.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
4405
5.17 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
99% |
685
54.5 IPS |
|
|
Object Detection (Q)
|
86% |
1292
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
581
6.91 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
3432
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
603
4.64 IPS |
|
|
Depth Estimation (HP)
|
98% |
1237
9.56 IPS |
|
|
Depth Estimation (Q)
|
79% |
3607
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2389
3.07 IPS |
|
|
Style Transfer (HP)
|
100% |
9401
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31557
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2390
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
382
509.4 IPS |
|
|
Text Classification (Q)
|
97% |
489
654.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1967
34.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1854
37.3 IPS |
