Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2188
Single Precision Score
9851
Half Precision Score
17926
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | vik_007 |
| Upload Date | January 11 2025 06:42 PM |
| Views | 9 |
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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
8370
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
11644
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7387
119.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9025
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
68681
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
226788
265.8 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
9402
745.8 IPS |
|
|
Object Detection (Q)
|
82% |
12058
976.0 IPS |
|
|
Face Detection (SP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
22134
263.0 IPS |
|
|
Face Detection (Q)
|
97% |
41270
492.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2607
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40101
309.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
71397
580.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15534
20.0 IPS |
|
|
Style Transfer (HP)
|
23% |
2721
93.7 IPS |
|
|
Style Transfer (Q)
|
98% |
175529
226.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24441
902.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32832
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (Q)
|
95% |
1978
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (Q)
|
37% |
355
34.6 IPS |
