Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1647
Single Precision Score
11301
Half Precision Score
31338
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| Upload Date | January 28 2026 05:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 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 |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
1124
209.1 IPS |
|
|
Image Classification (Q)
|
99% |
17197
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7997
129.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21664
352.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5326
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
70232
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
242842
284.6 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
10718
850.1 IPS |
|
|
Object Detection (Q)
|
92% |
20698
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
7118
84.6 IPS |
|
|
Face Detection (Q)
|
97% |
9322
111.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2325
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41246
317.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
101153
807.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9308
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53294
68.5 IPS |
|
|
Style Transfer (Q)
|
98% |
248227
320.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27823
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57710
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (Q)
|
95% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4607
79.3 IPS |
|
|
Machine Translation (Q)
|
67% |
9130
177.7 IPS |
