Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1851
Single Precision Score
2641
Half Precision Score
5676
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 26 2024 11:05 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% |
701
130.3 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (Q)
|
99% |
5801
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2311
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4753
5.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
13941
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
99% |
2065
164.3 IPS |
|
|
Object Detection (Q)
|
86% |
5316
427.3 IPS |
|
|
Face Detection (SP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
6296
74.8 IPS |
|
|
Face Detection (Q)
|
97% |
10292
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2268
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3321
25.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
10307
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11422
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8667
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29790
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
607
810.8 IPS |
|
|
Text Classification (Q)
|
97% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2532
43.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2882
57.9 IPS |
