Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2214
Single Precision Score
10140
Half Precision Score
25773
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Crow-fusion |
| Upload Date | April 29 2025 02:12 PM |
| Views | 7 |
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 |
| 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% |
734
136.4 IPS |
|
|
Image Classification (HP)
|
100% |
4408
819.7 IPS |
|
|
Image Classification (Q)
|
99% |
4458
831.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7895
128.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15750
256.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6718
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
68528
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
240804
282.3 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (Q)
|
92% |
17327
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
17240
204.8 IPS |
|
|
Face Detection (Q)
|
97% |
59564
710.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2603
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41446
319.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
100070
798.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16513
21.2 IPS |
|
|
Style Transfer (HP)
|
98% |
38795
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
241996
312.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2444
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18584
686.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
58279
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (Q)
|
95% |
3424
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
67% |
1534
29.9 IPS |
