Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2189
Single Precision Score
15458
Half Precision Score
35063
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 18 2025 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
10041
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
17708
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8111
131.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16993
276.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
68979
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
246520
289.0 IPS |
|
|
Object Detection (SP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (HP)
|
100% |
10884
863.3 IPS |
|
|
Object Detection (Q)
|
92% |
19751
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
23994
285.1 IPS |
|
|
Face Detection (Q)
|
97% |
59185
705.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2519
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40282
310.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
99042
790.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15773
20.3 IPS |
|
|
Style Transfer (HP)
|
98% |
56462
72.8 IPS |
|
|
Style Transfer (Q)
|
98% |
257735
332.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2371
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28163
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58971
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
1472
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (Q)
|
95% |
3474
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2422
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (Q)
|
67% |
6195
120.6 IPS |
