Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2070
Single Precision Score
11079
Half Precision Score
21751
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 21 2024 10:03 AM |
| Views | 3 |
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% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
10858
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
17011
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7590
123.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9303
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6329
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
70450
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
238234
279.2 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
11143
883.8 IPS |
|
|
Object Detection (Q)
|
82% |
16068
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
22876
271.8 IPS |
|
|
Face Detection (Q)
|
97% |
47033
560.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2429
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41933
323.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
83383
677.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14575
18.7 IPS |
|
|
Style Transfer (HP)
|
23% |
2775
95.5 IPS |
|
|
Style Transfer (Q)
|
98% |
181313
233.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28708
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41320
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (Q)
|
95% |
3468
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (Q)
|
37% |
384
37.4 IPS |
