Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
299
Single Precision Score
437
Half Precision Score
773
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 20 2025 08:34 AM |
| Views | 2 |
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% |
72
13.3 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
99% |
246
46.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
289
4.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5494
6.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
14617
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (HP)
|
99% |
903
71.8 IPS |
|
|
Object Detection (Q)
|
86% |
1186
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (Q)
|
97% |
712
8.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
259
2.00 IPS |
|
|
Depth Estimation (HP)
|
98% |
365
2.82 IPS |
|
|
Depth Estimation (Q)
|
79% |
704
5.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1892
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2109
2.71 IPS |
|
|
Style Transfer (Q)
|
98% |
3874
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
176
6.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
202
7.47 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
103
137.4 IPS |
|
|
Text Classification (HP)
|
100% |
73
97.1 IPS |
|
|
Text Classification (Q)
|
97% |
189
252.7 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
99% |
305
5.28 IPS |
|
|
Machine Translation (Q)
|
65% |
453
9.09 IPS |
