Microsoft Corporation Surface Pro 9
Geekbench ML Score
2066
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 07:22 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
910
170.4 IPS |
|
|
Image Classification (F16)
|
100% |
909
170.1 IPS |
|
|
Image Classification (I8)
|
100% |
803
150.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1600
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1634
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1112
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10356
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
10553
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5269
6.38 IPS |
|
|
Object Detection (F32)
|
100% |
916
68.4 IPS |
|
|
Object Detection (F16)
|
100% |
917
68.5 IPS |
|
|
Object Detection (I8)
|
54% |
768
57.3 IPS |
|
|
Face Detection (F32)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (F16)
|
100% |
2242
26.7 IPS |
|
|
Face Detection (I8)
|
89% |
1602
19.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5039
39.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5100
39.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
3623
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21798
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21677
28.5 IPS |
|
|
Style Transfer (I8)
|
98% |
13620
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2965
105.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3150
112.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1354
48.4 IPS |
|
|
Text Classification (F32)
|
100% |
665
955.1 IPS |
|
|
Text Classification (F16)
|
100% |
679
976.3 IPS |
|
|
Text Classification (I8)
|
98% |
349
501.5 IPS |
|
|
Machine Translation (F32)
|
100% |
917
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
912
16.8 IPS |
|
|
Machine Translation (I8)
|
70% |
474
8.72 IPS |
