Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1887
Single Precision Score
14069
Half Precision Score
23655
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 26 2024 10:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
8386
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
11327
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7182
116.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8918
145.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5057
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
69709
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
226920
266.0 IPS |
|
|
Object Detection (SP)
|
100% |
781
62.0 IPS |
|
|
Object Detection (HP)
|
100% |
10266
814.3 IPS |
|
|
Object Detection (Q)
|
92% |
11834
944.6 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
21014
249.7 IPS |
|
|
Face Detection (Q)
|
97% |
42665
508.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38575
297.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
90092
722.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12314
15.8 IPS |
|
|
Style Transfer (HP)
|
98% |
56682
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
199832
257.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2019
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27256
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36835
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (Q)
|
95% |
3013
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3043
52.4 IPS |
|
|
Machine Translation (Q)
|
67% |
2373
46.2 IPS |
