Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
198
Single Precision Score
272
Half Precision Score
473
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 22 2025 12:59 PM |
| Views | 9 |
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% |
64
11.9 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
99% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
1794
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.26 IPS |
|
|
Object Detection (HP)
|
99% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
86% |
264
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (Q)
|
97% |
614
7.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
242
1.87 IPS |
|
|
Depth Estimation (HP)
|
98% |
348
2.69 IPS |
|
|
Depth Estimation (Q)
|
79% |
668
5.31 IPS |
|
|
Style Transfer (SP)
|
100% |
1727
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1890
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3421
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
181
6.67 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
288
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
89
119.2 IPS |
|
|
Text Classification (HP)
|
100% |
48
64.4 IPS |
|
|
Text Classification (Q)
|
97% |
123
165.2 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (HP)
|
99% |
295
5.09 IPS |
|
|
Machine Translation (Q)
|
65% |
366
7.35 IPS |
