Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
403
Single Precision Score
539
Half Precision Score
982
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 20 2025 08:50 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 |
| Power Plan | Balanced |
| 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% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.8 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
1872
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
99% |
1969
156.7 IPS |
|
|
Object Detection (Q)
|
86% |
6299
506.2 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
6336
75.3 IPS |
|
|
Face Detection (Q)
|
97% |
10526
125.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1859
14.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
478
3.69 IPS |
|
|
Depth Estimation (Q)
|
79% |
689
5.48 IPS |
|
|
Style Transfer (SP)
|
100% |
1848
2.38 IPS |
|
|
Style Transfer (HP)
|
100% |
2059
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3690
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.92 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
400
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
120
159.7 IPS |
|
|
Text Classification (HP)
|
100% |
69
92.3 IPS |
|
|
Text Classification (Q)
|
97% |
187
250.3 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
99% |
309
5.34 IPS |
|
|
Machine Translation (Q)
|
65% |
466
9.37 IPS |
