Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
195
Single Precision Score
14187
Half Precision Score
29983
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 06 2025 08:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
62
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
8797
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
13814
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
7637
123.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15272
248.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
69521
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
223324
261.8 IPS |
|
|
Object Detection (SP)
|
100% |
74
5.90 IPS |
|
|
Object Detection (HP)
|
100% |
9245
733.3 IPS |
|
|
Object Detection (Q)
|
92% |
16147
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
204
2.42 IPS |
|
|
Face Detection (HP)
|
100% |
21168
251.5 IPS |
|
|
Face Detection (Q)
|
97% |
49798
593.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
38974
300.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
95879
765.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1700
2.19 IPS |
|
|
Style Transfer (HP)
|
98% |
56328
72.6 IPS |
|
|
Style Transfer (Q)
|
98% |
242175
312.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26326
972.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
52340
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
93
124.2 IPS |
|
|
Text Classification (HP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (Q)
|
95% |
2780
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
176
3.03 IPS |
|
|
Machine Translation (HP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (Q)
|
67% |
4588
89.3 IPS |
