Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2012
Single Precision Score
3269
Half Precision Score
6440
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | angelpradomx |
| Upload Date | June 01 2025 03:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
3201
595.3 IPS |
|
|
Image Classification (Q)
|
99% |
6939
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2489
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6607
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
8169
9.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
19343
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (HP)
|
99% |
2252
179.1 IPS |
|
|
Object Detection (Q)
|
86% |
6002
482.4 IPS |
|
|
Face Detection (SP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
6882
81.8 IPS |
|
|
Face Detection (Q)
|
97% |
11835
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2255
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3563
27.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
10814
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13497
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10389
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33656
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.3 IPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2830
48.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3526
70.8 IPS |
