Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1247
Single Precision Score
1670
Half Precision Score
4065
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 04 2024 06:42 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 Insider Preview (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.8 IPS |
|
|
Image Classification (Q)
|
99% |
5966
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
246
4.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
8129
9.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
23633
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (HP)
|
99% |
2160
171.9 IPS |
|
|
Object Detection (Q)
|
86% |
6063
487.3 IPS |
|
|
Face Detection (SP)
|
100% |
1638
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
6514
77.4 IPS |
|
|
Face Detection (Q)
|
97% |
10821
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3260
25.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
8669
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1993
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1811
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
4068
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3912
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.8 IPS |
|
|
Text Classification (Q)
|
97% |
1224
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
99% |
2740
47.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3207
64.4 IPS |
