Microsoft Corporation Surface Pro 9
Geekbench ML Score
1927
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 02:24 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% |
998
186.7 IPS |
|
|
Image Classification (F16)
|
100% |
996
186.3 IPS |
|
|
Image Classification (I8)
|
99% |
1737
325.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
795
13.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1811
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2560
3.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
2672
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
7733
9.36 IPS |
|
|
Object Detection (F32)
|
100% |
955
71.3 IPS |
|
|
Object Detection (F16)
|
100% |
1045
78.0 IPS |
|
|
Object Detection (I8)
|
62% |
1008
75.3 IPS |
|
|
Face Detection (F32)
|
100% |
2102
25.0 IPS |
|
|
Face Detection (F16)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (I8)
|
89% |
2555
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3299
25.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3332
25.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
6798
52.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7272
9.57 IPS |
|
|
Style Transfer (F16)
|
100% |
7146
9.40 IPS |
|
|
Style Transfer (I8)
|
98% |
11708
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1591
56.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1547
55.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2540
90.7 IPS |
|
|
Text Classification (F32)
|
100% |
852
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
846
1.22 KIPS |
|
|
Text Classification (I8)
|
98% |
780
1.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1548
28.5 IPS |
