Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
199
Single Precision Score
277
Half Precision Score
504
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 24 2025 02:34 PM |
| Views | 8 |
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% |
63
11.8 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.7 IPS |
|
|
Image Classification (Q)
|
99% |
252
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
268
4.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
868
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
1731
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.02 IPS |
|
|
Object Detection (HP)
|
99% |
125
9.98 IPS |
|
|
Object Detection (Q)
|
86% |
262
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
214
2.55 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (Q)
|
97% |
689
8.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
327
2.53 IPS |
|
|
Depth Estimation (Q)
|
79% |
657
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
1803
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1906
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3511
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.94 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
323
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
76
101.5 IPS |
|
|
Text Classification (HP)
|
100% |
58
77.7 IPS |
|
|
Text Classification (Q)
|
97% |
147
196.5 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
99% |
281
4.86 IPS |
|
|
Machine Translation (Q)
|
65% |
463
9.29 IPS |
