Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1873
Single Precision Score
3138
Half Precision Score
5919
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 26 2024 10:12 AM |
| 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% |
699
129.9 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.8 IPS |
|
|
Image Classification (Q)
|
99% |
6509
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2328
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5673
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
8592
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
18074
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (HP)
|
99% |
2098
166.9 IPS |
|
|
Object Detection (Q)
|
86% |
5319
427.5 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
6161
73.2 IPS |
|
|
Face Detection (Q)
|
97% |
11194
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2457
18.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3516
27.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
9739
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10228
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9985
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32163
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3214
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
1485
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.8 IPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2742
47.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2717
54.6 IPS |
