Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1727
Single Precision Score
7640
Half Precision Score
14041
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | vik_007 |
| Upload Date | January 11 2025 05:37 PM |
| Views | 13 |
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% |
724
134.7 IPS |
|
|
Image Classification (HP)
|
100% |
7299
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
9286
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
6814
110.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8227
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4754
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
67784
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
207885
243.7 IPS |
|
|
Object Detection (SP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (HP)
|
100% |
5860
464.8 IPS |
|
|
Object Detection (Q)
|
82% |
8932
723.1 IPS |
|
|
Face Detection (SP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
15284
181.6 IPS |
|
|
Face Detection (Q)
|
97% |
29515
352.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2561
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34762
267.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
59054
479.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4149
5.33 IPS |
|
|
Style Transfer (HP)
|
23% |
2589
89.1 IPS |
|
|
Style Transfer (Q)
|
98% |
162600
209.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19250
710.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27818
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
95% |
1184
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (Q)
|
37% |
225
21.9 IPS |
