Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2056
Single Precision Score
11156
Half Precision Score
22031
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | vik_007 |
| Upload Date | October 07 2024 07:03 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% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
10827
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
17030
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7583
122.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9320
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5581
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
70993
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
242389
284.1 IPS |
|
|
Object Detection (SP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (HP)
|
100% |
11276
894.4 IPS |
|
|
Object Detection (Q)
|
82% |
16358
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
23315
277.0 IPS |
|
|
Face Detection (Q)
|
97% |
47577
567.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42653
328.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
84807
689.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15708
20.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2760
95.0 IPS |
|
|
Style Transfer (Q)
|
98% |
181742
234.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29025
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41699
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2027
2.71 KIPS |
|
|
Text Classification (Q)
|
95% |
3509
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2046
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (Q)
|
37% |
399
38.9 IPS |
