Microsoft Corporation Surface Pro 9
Geekbench ML Score
2075
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 01:32 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 | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1078
201.8 IPS |
|
|
Image Classification (F16)
|
100% |
1074
201.0 IPS |
|
|
Image Classification (I8)
|
100% |
841
157.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1736
29.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1771
29.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1236
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10597
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10526
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
5272
6.38 IPS |
|
|
Object Detection (F32)
|
100% |
913
68.1 IPS |
|
|
Object Detection (F16)
|
100% |
904
67.5 IPS |
|
|
Object Detection (I8)
|
54% |
863
64.5 IPS |
|
|
Face Detection (F32)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (F16)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (I8)
|
89% |
1536
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4992
38.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4936
38.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3654
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
21649
28.5 IPS |
|
|
Style Transfer (F16)
|
100% |
21828
28.7 IPS |
|
|
Style Transfer (I8)
|
98% |
13822
18.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3124
111.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3087
110.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1319
47.1 IPS |
|
|
Text Classification (F32)
|
100% |
646
927.8 IPS |
|
|
Text Classification (F16)
|
100% |
692
994.1 IPS |
|
|
Text Classification (I8)
|
98% |
358
515.1 IPS |
|
|
Machine Translation (F32)
|
100% |
709
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (I8)
|
70% |
411
7.56 IPS |
