Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1975
Single Precision Score
14856
Half Precision Score
32896
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | sbisson |
| Upload Date | May 23 2025 01:17 PM |
| Views | 6 |
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 Insider Preview (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% |
711
132.3 IPS |
|
|
Image Classification (HP)
|
100% |
9552
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
15901
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7872
127.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16402
266.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5527
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
67952
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
227261
266.4 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
9899
785.2 IPS |
|
|
Object Detection (Q)
|
92% |
17506
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
22877
271.8 IPS |
|
|
Face Detection (Q)
|
97% |
55664
663.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2238
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37104
285.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
92572
738.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13906
17.9 IPS |
|
|
Style Transfer (HP)
|
98% |
56617
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
247414
319.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27195
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57450
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (Q)
|
95% |
3486
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (Q)
|
67% |
5602
109.0 IPS |
