Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2025
Single Precision Score
9535
Half Precision Score
18124
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 14 2024 04:49 AM |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (HP)
|
100% |
10482
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
12917
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7066
114.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8572
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5845
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
67007
78.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
213958
250.8 IPS |
|
|
Object Detection (SP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (HP)
|
100% |
9108
722.5 IPS |
|
|
Object Detection (Q)
|
82% |
12068
976.8 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
17838
212.0 IPS |
|
|
Face Detection (Q)
|
97% |
39329
469.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2403
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38658
297.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
73921
600.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15272
19.6 IPS |
|
|
Style Transfer (HP)
|
23% |
2589
89.1 IPS |
|
|
Style Transfer (Q)
|
98% |
165816
213.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23905
882.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36865
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1434
1.91 KIPS |
|
|
Text Classification (Q)
|
95% |
2907
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (Q)
|
37% |
259
25.3 IPS |
