Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1333
Single Precision Score
2065
Half Precision Score
4643
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 29 2025 07:27 AM |
| 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% |
610
113.4 IPS |
|
|
Image Classification (HP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (Q)
|
99% |
5521
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2640
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1600
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4324
5.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
11253
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
99% |
773
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
4225
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (Q)
|
97% |
8250
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1510
11.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2196
17.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
7751
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7595
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
7491
9.63 IPS |
|
|
Style Transfer (Q)
|
98% |
24304
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2448
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
497
662.9 IPS |
|
|
Text Classification (Q)
|
97% |
1164
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2180
37.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2504
50.3 IPS |
