Microsoft Corporation Surface Pro 9
Geekbench ML Score
2001
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 02:00 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% |
904
169.2 IPS |
|
|
Image Classification (F16)
|
100% |
909
170.0 IPS |
|
|
Image Classification (I8)
|
100% |
748
140.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1664
27.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1533
25.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1151
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10365
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10504
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
5232
6.34 IPS |
|
|
Object Detection (F32)
|
100% |
907
67.7 IPS |
|
|
Object Detection (F16)
|
100% |
917
68.4 IPS |
|
|
Object Detection (I8)
|
54% |
764
57.0 IPS |
|
|
Face Detection (F32)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (F16)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (I8)
|
89% |
1549
18.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4983
38.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4995
38.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3626
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21618
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
21725
28.6 IPS |
|
|
Style Transfer (I8)
|
98% |
13702
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2993
106.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3103
110.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1316
47.0 IPS |
|
|
Text Classification (F32)
|
100% |
721
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
665
955.6 IPS |
|
|
Text Classification (I8)
|
98% |
323
463.6 IPS |
|
|
Machine Translation (F32)
|
100% |
691
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
705
13.0 IPS |
|
|
Machine Translation (I8)
|
70% |
407
7.49 IPS |
