Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
751
Single Precision Score
1384
Half Precision Score
2086
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 20 2025 07:59 AM |
| Views | 9 |
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% |
527
98.0 IPS |
|
|
Image Classification (HP)
|
100% |
2733
508.2 IPS |
|
|
Image Classification (Q)
|
99% |
6460
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1437
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1578
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
6908
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
99% |
1301
103.5 IPS |
|
|
Object Detection (Q)
|
86% |
1471
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
561
6.66 IPS |
|
|
Face Detection (HP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3106
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
831
6.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
1255
9.70 IPS |
|
|
Depth Estimation (Q)
|
79% |
2324
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2499
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3011
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
9725
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1150
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.7 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.8 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.7 IPS |
|
|
Machine Translation (SP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1167
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
645
13.0 IPS |
