Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
2841
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | January 22 2025 06:17 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% |
725
135.7 IPS |
|
|
Image Classification (F16)
|
100% |
720
134.8 IPS |
|
|
Image Classification (I8)
|
99% |
4060
759.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2347
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6666
8.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
6764
8.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
25642
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
905
67.5 IPS |
|
|
Object Detection (F16)
|
100% |
898
67.0 IPS |
|
|
Object Detection (I8)
|
65% |
3459
258.2 IPS |
|
|
Face Detection (F32)
|
100% |
1946
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (I8)
|
89% |
6026
71.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2570
19.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2105
16.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
14963
116.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15133
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16753
22.0 IPS |
|
|
Style Transfer (I8)
|
98% |
35594
46.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2469
88.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2475
88.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3881
138.6 IPS |
|
|
Text Classification (F32)
|
100% |
1405
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1374
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1156
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1214
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1213
22.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3143
57.8 IPS |
