Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1477
Single Precision Score
15092
Half Precision Score
35659
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | September 06 2025 05:22 PM |
| Views | 5 |
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 | 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
10479
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
17106
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
8022
130.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19422
315.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6234
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
69524
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
235561
276.1 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
100% |
10309
817.7 IPS |
|
|
Object Detection (Q)
|
92% |
19851
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
23054
273.9 IPS |
|
|
Face Detection (Q)
|
97% |
64632
770.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1890
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40679
313.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
100007
798.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15428
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52578
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
240984
310.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26652
984.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
55508
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
457
609.3 IPS |
|
|
Text Classification (HP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (Q)
|
95% |
3672
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (Q)
|
67% |
6741
131.2 IPS |
