Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1420
Single Precision Score
2173
Half Precision Score
5186
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 12:39 PM |
| Views | 1 |
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% |
636
118.3 IPS |
|
|
Image Classification (HP)
|
100% |
2884
536.3 IPS |
|
|
Image Classification (Q)
|
99% |
6097
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1801
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3615
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
20015
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
99% |
2196
174.7 IPS |
|
|
Object Detection (Q)
|
86% |
5259
422.7 IPS |
|
|
Face Detection (SP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (Q)
|
97% |
7314
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1470
11.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2363
18.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
9545
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7007
9.01 IPS |
|
|
Style Transfer (HP)
|
100% |
6666
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
22856
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3121
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
579
772.2 IPS |
|
|
Text Classification (Q)
|
97% |
1078
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2017
34.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2269
45.6 IPS |
