Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1794
Single Precision Score
6774
Half Precision Score
11564
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | chaoskk |
| Upload Date | February 06 2025 02:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| 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% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.7 IPS |
|
|
Image Classification (Q)
|
99% |
2180
406.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
5086
82.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7394
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5625
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
42994
50.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
212588
249.2 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
3454
274.0 IPS |
|
|
Object Detection (Q)
|
92% |
4091
326.6 IPS |
|
|
Face Detection (SP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
11724
139.3 IPS |
|
|
Face Detection (Q)
|
97% |
18855
224.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2390
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35150
270.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
61198
491.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11578
14.9 IPS |
|
|
Style Transfer (HP)
|
98% |
34159
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
180282
232.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12329
455.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25230
934.2 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
95% |
430
577.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
67% |
1352
26.3 IPS |
