Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1737
Single Precision Score
2699
Half Precision Score
5403
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 25 2024 11:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Balanced |
| 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% |
603
112.1 IPS |
|
|
Image Classification (HP)
|
100% |
2596
482.8 IPS |
|
|
Image Classification (Q)
|
99% |
5899
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2138
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4962
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
6368
7.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
12742
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
99% |
1854
147.5 IPS |
|
|
Object Detection (Q)
|
86% |
4687
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
5777
68.6 IPS |
|
|
Face Detection (Q)
|
97% |
9070
108.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2072
16.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2844
22.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
9318
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11133
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10072
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30026
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3315
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
627
837.3 IPS |
|
|
Text Classification (Q)
|
97% |
1199
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2318
40.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2794
56.1 IPS |
