Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2173
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 20 2025 10:26 AM |
| Views | 2 |
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% |
1256
235.1 IPS |
|
|
Image Classification (F16)
|
100% |
1210
226.5 IPS |
|
|
Image Classification (I8)
|
100% |
1194
223.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1529
25.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1712
28.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1473
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8387
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9336
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8552
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1210
90.3 IPS |
|
|
Object Detection (F16)
|
100% |
1085
81.0 IPS |
|
|
Object Detection (I8)
|
71% |
1081
80.7 IPS |
|
|
Face Detection (F32)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (F16)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (I8)
|
93% |
1942
23.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5239
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5339
41.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
4635
35.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12873
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12472
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
11723
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4969
177.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4899
175.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3600
128.6 IPS |
|
|
Text Classification (F32)
|
100% |
247
354.8 IPS |
|
|
Text Classification (F16)
|
100% |
258
370.4 IPS |
|
|
Text Classification (I8)
|
98% |
202
290.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1045
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (I8)
|
65% |
625
11.5 IPS |
