Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1686
Single Precision Score
16010
Half Precision Score
38981
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| Upload Date | January 27 2026 03:31 PM |
| 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% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
10371
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
17780
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8076
130.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22360
363.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3813
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
71143
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
245652
287.9 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
10825
858.6 IPS |
|
|
Object Detection (Q)
|
92% |
21079
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
24078
286.1 IPS |
|
|
Face Detection (Q)
|
97% |
69722
831.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2419
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41785
321.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
106412
849.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12898
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53590
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
249098
321.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28087
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57676
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (Q)
|
95% |
3963
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4560
78.5 IPS |
|
|
Machine Translation (Q)
|
67% |
9317
181.3 IPS |
