Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
310
Single Precision Score
389
Half Precision Score
662
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 06:27 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% |
65
12.1 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.0 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
292
4.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
1878
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.89 IPS |
|
|
Object Detection (HP)
|
99% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
86% |
273
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (HP)
|
100% |
520
6.18 IPS |
|
|
Face Detection (Q)
|
97% |
719
8.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
98% |
375
2.90 IPS |
|
|
Depth Estimation (Q)
|
79% |
736
5.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1829
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2089
2.69 IPS |
|
|
Style Transfer (Q)
|
98% |
3658
4.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.40 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.9 IPS |
|
|
Text Classification (HP)
|
100% |
654
872.7 IPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
99% |
310
5.35 IPS |
|
|
Machine Translation (Q)
|
65% |
490
9.84 IPS |
