Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1953
Single Precision Score
2989
Half Precision Score
6070
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 26 2024 06:12 PM |
| Views | 1 |
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% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
2217
412.2 IPS |
|
|
Image Classification (Q)
|
99% |
5033
938.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3111
50.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2002
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5052
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
8003
9.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
22317
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.5 IPS |
|
|
Object Detection (HP)
|
99% |
2199
174.9 IPS |
|
|
Object Detection (Q)
|
86% |
6579
528.7 IPS |
|
|
Face Detection (SP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (Q)
|
97% |
11296
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2240
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3384
26.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
10674
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12638
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7952
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30681
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
647
863.5 IPS |
|
|
Text Classification (Q)
|
97% |
1176
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2621
45.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2870
57.7 IPS |
