Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2087
Single Precision Score
10898
Half Precision Score
21583
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 07 2024 07:00 PM |
| 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% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
10816
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
17130
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7512
121.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9172
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
70385
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
236410
277.1 IPS |
|
|
Object Detection (SP)
|
100% |
888
70.5 IPS |
|
|
Object Detection (HP)
|
100% |
10302
817.1 IPS |
|
|
Object Detection (Q)
|
82% |
15485
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
22835
271.3 IPS |
|
|
Face Detection (Q)
|
97% |
46857
558.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2444
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42148
324.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
84865
689.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14551
18.7 IPS |
|
|
Style Transfer (HP)
|
23% |
2762
95.1 IPS |
|
|
Style Transfer (Q)
|
98% |
179776
231.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29013
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41014
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (Q)
|
95% |
3370
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (Q)
|
37% |
386
37.6 IPS |
