Microsoft Corporation Surface Pro 9
Geekbench ML Score
2153
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 06:46 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% |
979
183.2 IPS |
|
|
Image Classification (F16)
|
100% |
998
186.7 IPS |
|
|
Image Classification (I8)
|
100% |
807
151.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1639
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1698
28.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1235
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10389
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10476
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
5101
6.18 IPS |
|
|
Object Detection (F32)
|
100% |
1233
92.0 IPS |
|
|
Object Detection (F16)
|
100% |
1117
83.4 IPS |
|
|
Object Detection (I8)
|
54% |
911
68.0 IPS |
|
|
Face Detection (F32)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (F16)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (I8)
|
89% |
1617
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5295
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5208
40.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3745
29.0 IPS |
|
|
Style Transfer (F32)
|
100% |
22212
29.2 IPS |
|
|
Style Transfer (F16)
|
100% |
22434
29.5 IPS |
|
|
Style Transfer (I8)
|
98% |
14106
18.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3060
109.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3144
112.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1382
49.4 IPS |
|
|
Text Classification (F32)
|
100% |
686
985.5 IPS |
|
|
Text Classification (F16)
|
100% |
661
949.7 IPS |
|
|
Text Classification (I8)
|
98% |
358
514.6 IPS |
|
|
Machine Translation (F32)
|
100% |
887
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
864
15.9 IPS |
|
|
Machine Translation (I8)
|
70% |
465
8.55 IPS |
