Microsoft Corporation Surface Pro 9
Geekbench ML Score
1836
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 04:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
980
183.3 IPS |
|
|
Image Classification (F16)
|
100% |
981
183.6 IPS |
|
|
Image Classification (I8)
|
99% |
1620
303.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1813
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2705
3.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
2478
3.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
6532
7.91 IPS |
|
|
Object Detection (F32)
|
100% |
914
68.2 IPS |
|
|
Object Detection (F16)
|
100% |
554
41.4 IPS |
|
|
Object Detection (I8)
|
62% |
901
67.3 IPS |
|
|
Face Detection (F32)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (F16)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (I8)
|
89% |
2565
30.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3374
26.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3385
26.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
6419
49.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7181
9.45 IPS |
|
|
Style Transfer (F16)
|
100% |
6816
8.97 IPS |
|
|
Style Transfer (I8)
|
98% |
11355
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1443
51.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1506
53.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2484
88.7 IPS |
|
|
Text Classification (F32)
|
100% |
842
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
849
1.22 KIPS |
|
|
Text Classification (I8)
|
98% |
784
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1099
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1635
30.1 IPS |
