Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1109
Single Precision Score
2061
Half Precision Score
4188
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 07:19 AM |
| Views | 1 |
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% |
623
115.8 IPS |
|
|
Image Classification (HP)
|
100% |
3023
562.1 IPS |
|
|
Image Classification (Q)
|
99% |
6576
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2029
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3826
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5319
6.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
15187
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (HP)
|
99% |
2080
165.5 IPS |
|
|
Object Detection (Q)
|
86% |
5288
425.0 IPS |
|
|
Face Detection (SP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
5233
62.2 IPS |
|
|
Face Detection (Q)
|
97% |
10052
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1625
12.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2400
18.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
7339
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7080
9.10 IPS |
|
|
Style Transfer (HP)
|
100% |
6663
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
23156
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
572
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
604
805.8 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.7 IPS |
|
|
Text Classification (Q)
|
97% |
520
696.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
99% |
2380
41.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3050
61.3 IPS |
