Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1844
Single Precision Score
2501
Half Precision Score
5953
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 18 2025 10:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Ausbalanciert |
| 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% |
670
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
2208
410.6 IPS |
|
|
Image Classification (Q)
|
99% |
3779
704.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3268
53.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1834
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4518
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5016
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
26112
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (HP)
|
99% |
1540
122.5 IPS |
|
|
Object Detection (Q)
|
86% |
6489
521.5 IPS |
|
|
Face Detection (SP)
|
100% |
1706
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
7307
86.8 IPS |
|
|
Face Detection (Q)
|
97% |
11558
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2243
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2827
21.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
10880
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13810
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7575
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
31932
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
700
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3481
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.8 IPS |
|
|
Text Classification (Q)
|
97% |
1212
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2516
43.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2813
56.5 IPS |
