Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1630
Single Precision Score
2345
Half Precision Score
4902
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 28 2024 11:26 AM |
| 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 | 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% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
99% |
5768
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
731
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5772
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
6395
7.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
15015
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (HP)
|
99% |
1837
146.1 IPS |
|
|
Object Detection (Q)
|
86% |
5110
410.7 IPS |
|
|
Face Detection (SP)
|
100% |
1578
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
5963
70.9 IPS |
|
|
Face Detection (Q)
|
97% |
9788
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2032
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3167
24.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
9886
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12147
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7092
9.12 IPS |
|
|
Style Transfer (Q)
|
98% |
31146
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3216
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
1180
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.1 IPS |
|
|
Text Classification (Q)
|
97% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.3 IPS |
|
|
Machine Translation (HP)
|
99% |
2153
37.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2489
50.0 IPS |
