Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
3017
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 22 2025 06:20 AM |
| Views | 5 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
710
132.8 IPS |
|
|
Image Classification (F16)
|
100% |
715
133.7 IPS |
|
|
Image Classification (I8)
|
99% |
4002
749.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
768
12.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2374
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6847
8.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
6534
7.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
25796
31.2 IPS |
|
|
Object Detection (F32)
|
100% |
928
69.3 IPS |
|
|
Object Detection (F16)
|
100% |
912
68.1 IPS |
|
|
Object Detection (I8)
|
65% |
3492
260.7 IPS |
|
|
Face Detection (F32)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
6273
74.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2595
20.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2622
20.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
14786
114.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16732
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
16887
22.2 IPS |
|
|
Style Transfer (I8)
|
98% |
35569
46.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2547
91.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2503
89.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3899
139.2 IPS |
|
|
Text Classification (F32)
|
100% |
1467
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1437
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
1128
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
2174
40.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2158
39.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3577
65.8 IPS |
