Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
248
Single Precision Score
313
Half Precision Score
620
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | July 26 2025 07:31 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% |
64
11.9 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
293
4.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3334
3.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
11427
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
99% |
101
8.06 IPS |
|
|
Object Detection (Q)
|
86% |
252
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
222
2.64 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (Q)
|
97% |
611
7.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
98% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
79% |
632
5.03 IPS |
|
|
Style Transfer (SP)
|
100% |
1766
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1944
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3502
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
6.97 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
359
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
95
126.7 IPS |
|
|
Text Classification (HP)
|
100% |
60
80.0 IPS |
|
|
Text Classification (Q)
|
97% |
156
208.9 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (HP)
|
99% |
290
5.01 IPS |
|
|
Machine Translation (Q)
|
65% |
484
9.73 IPS |
