Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
489
Single Precision Score
822
Half Precision Score
1164
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 07:45 AM |
| Views | 2 |
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% |
71
13.2 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
265
49.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3493
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
11617
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
99% |
1728
137.4 IPS |
|
|
Object Detection (Q)
|
86% |
2637
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (Q)
|
97% |
637
7.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
367
2.84 IPS |
|
|
Depth Estimation (Q)
|
79% |
716
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1838
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2074
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3706
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.73 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
350
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.7 IPS |
|
|
Text Classification (HP)
|
100% |
66
88.7 IPS |
|
|
Text Classification (Q)
|
97% |
189
253.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
99% |
2126
36.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2824
56.7 IPS |
