Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
656
Single Precision Score
880
Half Precision Score
2643
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 20 2025 12:50 PM |
| Views | 14 |
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% |
69
12.8 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
99% |
253
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
318
5.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
1939
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (HP)
|
99% |
1473
117.2 IPS |
|
|
Object Detection (Q)
|
86% |
5724
460.1 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
11581
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1845
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2472
19.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
9799
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7515
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
7668
9.86 IPS |
|
|
Style Transfer (Q)
|
98% |
26329
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2548
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
541
721.7 IPS |
|
|
Text Classification (Q)
|
97% |
1080
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1801
31.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2272
45.6 IPS |
