Microsoft Surface Laptop, 7th Edition Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
715
Single Precision Score
17750
Half Precision Score
47032
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | myusrn |
| Upload Date | November 19 2025 09:36 PM |
| Views | 12 |
| Notes | ONNX, QNN |
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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
13242
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
26772
4.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
8058
130.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23301
378.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1221
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
71530
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
250702
293.9 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
12749
1.01 KIPS |
|
|
Object Detection (Q)
|
92% |
24642
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
25285
300.4 IPS |
|
|
Face Detection (Q)
|
97% |
61601
734.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1025
7.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
44150
340.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
110848
884.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3280
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
52745
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
256621
330.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31831
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
72024
2.66 KIPS |
|
|
Text Classification (SP)
|
100% |
496
661.8 IPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
95% |
10444
14.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (Q)
|
67% |
10426
202.9 IPS |
