Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2182
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 22 2025 06:30 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1320
246.9 IPS |
|
|
Image Classification (F16)
|
100% |
1160
217.1 IPS |
|
|
Image Classification (I8)
|
100% |
919
172.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1697
28.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1757
29.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1462
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9707
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9568
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8596
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1131
84.4 IPS |
|
|
Object Detection (F16)
|
100% |
1249
93.3 IPS |
|
|
Object Detection (I8)
|
71% |
1017
75.9 IPS |
|
|
Face Detection (F32)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (F16)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (I8)
|
93% |
1973
23.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5314
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5334
41.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4478
34.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12679
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12738
16.8 IPS |
|
|
Style Transfer (I8)
|
98% |
11786
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4949
176.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4857
173.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3624
129.4 IPS |
|
|
Text Classification (F32)
|
100% |
241
346.5 IPS |
|
|
Text Classification (F16)
|
100% |
269
386.0 IPS |
|
|
Text Classification (I8)
|
98% |
204
293.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1021
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (I8)
|
65% |
645
11.9 IPS |
