Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
222
Single Precision Score
302
Half Precision Score
548
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 20 2025 06:09 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% |
71
13.2 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.7 IPS |
|
|
Image Classification (Q)
|
99% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
280
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
1835
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.54 IPS |
|
|
Object Detection (HP)
|
99% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
284
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (HP)
|
100% |
482
5.72 IPS |
|
|
Face Detection (Q)
|
97% |
680
8.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
270
2.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
362
2.80 IPS |
|
|
Depth Estimation (Q)
|
79% |
728
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1849
2.38 IPS |
|
|
Style Transfer (HP)
|
100% |
2020
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3889
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.56 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
106
142.1 IPS |
|
|
Text Classification (HP)
|
100% |
61
82.0 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.7 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (HP)
|
99% |
324
5.60 IPS |
|
|
Machine Translation (Q)
|
65% |
466
9.37 IPS |
