Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1825
Single Precision Score
7706
Half Precision Score
14156
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | vik_007 |
| Upload Date | January 11 2025 05:22 PM |
| Views | 10 |
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% |
723
134.5 IPS |
|
|
Image Classification (HP)
|
100% |
6189
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
8295
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
6099
98.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8296
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5267
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
67842
79.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
210272
246.5 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
7527
597.0 IPS |
|
|
Object Detection (Q)
|
82% |
8180
662.1 IPS |
|
|
Face Detection (SP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
16847
200.2 IPS |
|
|
Face Detection (Q)
|
97% |
31664
377.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2487
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34067
262.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
67140
545.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16253
20.9 IPS |
|
|
Style Transfer (HP)
|
23% |
2509
86.4 IPS |
|
|
Style Transfer (Q)
|
98% |
168019
216.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17468
645.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24713
915.1 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
95% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
37% |
221
21.5 IPS |
