Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2115
Single Precision Score
14547
Half Precision Score
32999
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | May 18 2025 07:50 PM |
| Views | 4 |
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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
9596
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
16682
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7863
127.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16711
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68746
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229646
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
100% |
9249
733.6 IPS |
|
|
Object Detection (Q)
|
92% |
18300
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
23083
274.3 IPS |
|
|
Face Detection (Q)
|
97% |
60335
719.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2471
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40172
309.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
92833
741.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14987
19.3 IPS |
|
|
Style Transfer (HP)
|
98% |
55205
71.2 IPS |
|
|
Style Transfer (Q)
|
98% |
237823
306.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2297
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26354
973.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
56226
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
1491
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (Q)
|
95% |
3295
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (Q)
|
67% |
5297
103.1 IPS |
