Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2164
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 20 2025 10:15 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% |
1107
207.1 IPS |
|
|
Image Classification (F16)
|
100% |
1222
228.6 IPS |
|
|
Image Classification (I8)
|
100% |
962
180.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1705
28.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1621
27.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1435
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8567
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
8633
10.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
8810
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1241
92.6 IPS |
|
|
Object Detection (F16)
|
100% |
1202
89.7 IPS |
|
|
Object Detection (I8)
|
71% |
992
74.1 IPS |
|
|
Face Detection (F32)
|
100% |
2260
26.9 IPS |
|
|
Face Detection (F16)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (I8)
|
93% |
2012
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5288
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5263
40.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
4482
34.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12675
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12686
16.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11649
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4982
177.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4978
177.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3561
127.2 IPS |
|
|
Text Classification (F32)
|
100% |
253
363.1 IPS |
|
|
Text Classification (F16)
|
100% |
278
399.6 IPS |
|
|
Text Classification (I8)
|
98% |
210
301.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1033
19.0 IPS |
|
|
Machine Translation (I8)
|
65% |
622
11.4 IPS |
