Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2875
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 22 2025 06:22 AM |
| Views | 4 |
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% |
709
132.7 IPS |
|
|
Image Classification (F16)
|
100% |
703
131.6 IPS |
|
|
Image Classification (I8)
|
99% |
3853
721.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
812
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
805
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2317
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6618
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
6787
8.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
20285
24.6 IPS |
|
|
Object Detection (F32)
|
100% |
902
67.3 IPS |
|
|
Object Detection (F16)
|
100% |
912
68.1 IPS |
|
|
Object Detection (I8)
|
65% |
3502
261.5 IPS |
|
|
Face Detection (F32)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (I8)
|
89% |
6239
74.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2669
20.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2633
20.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14843
115.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14632
19.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14503
19.1 IPS |
|
|
Style Transfer (I8)
|
98% |
33946
44.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2406
85.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2393
85.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3912
139.7 IPS |
|
|
Text Classification (F32)
|
100% |
1466
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1445
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1139
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1636
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1722
31.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2887
53.1 IPS |
