Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
413
Single Precision Score
537
Half Precision Score
1126
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 25 2025 07:15 AM |
| Views | 16 |
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% |
67
12.5 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
99% |
233
43.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
297
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
992
1.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
1856
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.22 IPS |
|
|
Object Detection (HP)
|
99% |
145
11.6 IPS |
|
|
Object Detection (Q)
|
86% |
306
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
222
2.63 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (Q)
|
97% |
650
7.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (HP)
|
98% |
355
2.74 IPS |
|
|
Depth Estimation (Q)
|
79% |
672
5.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1773
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2160
2.78 IPS |
|
|
Style Transfer (Q)
|
98% |
18768
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2904
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.4 IPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2133
36.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3046
61.2 IPS |
