Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
661
Single Precision Score
848
Half Precision Score
1708
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 20 2025 08:19 AM |
| Views | 10 |
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% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
134
25.0 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
1957
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.62 IPS |
|
|
Object Detection (HP)
|
99% |
135
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
277
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
97% |
722
8.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
268
2.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
968
7.48 IPS |
|
|
Depth Estimation (Q)
|
79% |
5765
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7974
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8610
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25094
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2987
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.8 IPS |
|
|
Text Classification (Q)
|
97% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1767
30.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2349
47.2 IPS |
