Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1540
Single Precision Score
2761
Half Precision Score
5918
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | Scientist75 |
| Upload Date | December 02 2025 08:21 PM |
| Views | 15 |
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 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 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% |
589
109.5 IPS |
|
|
Image Classification (HP)
|
100% |
2322
431.9 IPS |
|
|
Image Classification (Q)
|
99% |
4044
754.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7788
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
8521
9.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
20831
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
99% |
2226
177.1 IPS |
|
|
Object Detection (Q)
|
86% |
4880
392.2 IPS |
|
|
Face Detection (SP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
6016
71.5 IPS |
|
|
Face Detection (Q)
|
97% |
9535
113.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1823
14.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3163
24.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
11428
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12370
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9709
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34288
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1618
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2448
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.7 IPS |
|
|
Text Classification (HP)
|
100% |
474
632.6 IPS |
|
|
Text Classification (Q)
|
97% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1838
31.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2142
43.0 IPS |
