Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2883
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 22 2025 06:37 AM |
| Views | 3 |
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% |
705
132.0 IPS |
|
|
Image Classification (F16)
|
100% |
691
129.4 IPS |
|
|
Image Classification (I8)
|
99% |
3783
707.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
721
12.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1753
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6465
7.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
6584
7.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
25529
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
892
66.6 IPS |
|
|
Object Detection (F16)
|
100% |
887
66.2 IPS |
|
|
Object Detection (I8)
|
65% |
3456
258.0 IPS |
|
|
Face Detection (F32)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (F16)
|
100% |
1905
22.7 IPS |
|
|
Face Detection (I8)
|
89% |
6234
74.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2652
20.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2340
18.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13296
103.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14740
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14169
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
33211
43.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2491
89.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2466
88.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3883
138.7 IPS |
|
|
Text Classification (F32)
|
100% |
1475
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1450
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1116
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2176
40.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2205
40.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3352
61.7 IPS |
