Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2157
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 20 2025 11:18 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% |
1248
233.5 IPS |
|
|
Image Classification (F16)
|
100% |
1145
214.2 IPS |
|
|
Image Classification (I8)
|
100% |
954
178.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1541
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1653
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1456
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9593
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8364
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
8647
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1221
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1218
90.9 IPS |
|
|
Object Detection (I8)
|
71% |
919
68.6 IPS |
|
|
Face Detection (F32)
|
100% |
2190
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2453
29.2 IPS |
|
|
Face Detection (I8)
|
93% |
2196
26.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5200
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5376
41.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
4606
35.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12606
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13054
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11329
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4858
173.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4988
178.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3565
127.3 IPS |
|
|
Text Classification (F32)
|
100% |
256
368.1 IPS |
|
|
Text Classification (F16)
|
100% |
249
357.9 IPS |
|
|
Text Classification (I8)
|
98% |
220
315.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1006
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1018
18.7 IPS |
|
|
Machine Translation (I8)
|
65% |
623
11.5 IPS |
