Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2212
Single Precision Score
15395
Half Precision Score
35134
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | angelpradomx |
| Upload Date | June 01 2025 03:21 AM |
| 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 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Equilibrado |
| 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% |
744
138.3 IPS |
|
|
Image Classification (HP)
|
100% |
10392
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
17607
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8092
131.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17041
277.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6925
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
69849
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
236573
277.3 IPS |
|
|
Object Detection (SP)
|
100% |
911
72.2 IPS |
|
|
Object Detection (HP)
|
100% |
10450
828.9 IPS |
|
|
Object Detection (Q)
|
92% |
20513
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
23562
280.0 IPS |
|
|
Face Detection (Q)
|
97% |
61509
733.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2533
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
39921
307.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
101215
807.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15971
20.5 IPS |
|
|
Style Transfer (HP)
|
98% |
55900
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
249977
322.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27093
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59255
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (Q)
|
95% |
3443
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (Q)
|
67% |
6200
120.7 IPS |
