Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2171
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 22 2025 06:35 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% |
1126
210.7 IPS |
|
|
Image Classification (F16)
|
100% |
1191
222.8 IPS |
|
|
Image Classification (I8)
|
100% |
939
175.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1622
27.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1627
27.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1495
25.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9381
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9401
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
7619
9.23 IPS |
|
|
Object Detection (F32)
|
100% |
1201
89.6 IPS |
|
|
Object Detection (F16)
|
100% |
1216
90.8 IPS |
|
|
Object Detection (I8)
|
71% |
1067
79.7 IPS |
|
|
Face Detection (F32)
|
100% |
2302
27.4 IPS |
|
|
Face Detection (F16)
|
100% |
2399
28.5 IPS |
|
|
Face Detection (I8)
|
93% |
2036
24.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5393
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5290
41.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4572
35.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12548
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12613
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
11570
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5073
181.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5045
180.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3555
127.0 IPS |
|
|
Text Classification (F32)
|
100% |
241
345.8 IPS |
|
|
Text Classification (F16)
|
100% |
273
392.8 IPS |
|
|
Text Classification (I8)
|
98% |
214
307.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1019
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1074
19.8 IPS |
|
|
Machine Translation (I8)
|
65% |
644
11.8 IPS |
