Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1515
Single Precision Score
2746
Half Precision Score
5765
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 24 2025 12:05 PM |
| Views | 5 |
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 Pro (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% |
484
90.1 IPS |
|
|
Image Classification (HP)
|
100% |
2262
420.6 IPS |
|
|
Image Classification (Q)
|
99% |
3686
687.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7810
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4461
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
9158
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
22442
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.0 IPS |
|
|
Object Detection (HP)
|
99% |
2352
187.1 IPS |
|
|
Object Detection (Q)
|
86% |
4038
324.5 IPS |
|
|
Face Detection (SP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
6078
72.2 IPS |
|
|
Face Detection (Q)
|
97% |
9658
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1769
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3037
23.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
13521
107.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12608
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9657
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37172
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2350
87.0 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
443
590.7 IPS |
|
|
Text Classification (Q)
|
97% |
706
945.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1954
33.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1931
38.8 IPS |
