Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2179
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 22 2025 06:32 AM |
| Views | 6 |
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% |
1349
252.4 IPS |
|
|
Image Classification (F16)
|
100% |
1216
227.5 IPS |
|
|
Image Classification (I8)
|
100% |
953
178.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1643
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1662
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1458
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9640
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8334
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
7676
9.30 IPS |
|
|
Object Detection (F32)
|
100% |
1213
90.5 IPS |
|
|
Object Detection (F16)
|
100% |
1226
91.5 IPS |
|
|
Object Detection (I8)
|
71% |
898
67.0 IPS |
|
|
Face Detection (F32)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (F16)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (I8)
|
93% |
1975
23.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5336
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5330
41.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
4553
35.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12512
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12426
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
11697
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5025
179.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5096
182.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3538
126.3 IPS |
|
|
Text Classification (F32)
|
100% |
262
376.1 IPS |
|
|
Text Classification (F16)
|
100% |
255
367.0 IPS |
|
|
Text Classification (I8)
|
98% |
233
334.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1075
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1022
18.8 IPS |
|
|
Machine Translation (I8)
|
65% |
637
11.7 IPS |
