Microsoft Corporation Surface Pro 9
Geekbench ML Score
2156
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 07 2024 07:36 AM |
| 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 | High performance |
| 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% |
1061
198.6 IPS |
|
|
Image Classification (F16)
|
100% |
1080
202.1 IPS |
|
|
Image Classification (I8)
|
100% |
828
154.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1732
28.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1650
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1193
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
10035
12.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9993
12.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
4988
6.04 IPS |
|
|
Object Detection (F32)
|
100% |
1150
85.8 IPS |
|
|
Object Detection (F16)
|
100% |
1119
83.5 IPS |
|
|
Object Detection (I8)
|
54% |
974
72.7 IPS |
|
|
Face Detection (F32)
|
100% |
2335
27.8 IPS |
|
|
Face Detection (F16)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (I8)
|
89% |
1552
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5110
39.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5070
39.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3644
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
21539
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21139
27.8 IPS |
|
|
Style Transfer (I8)
|
98% |
13541
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3124
111.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3109
111.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1349
48.2 IPS |
|
|
Text Classification (F32)
|
100% |
734
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
731
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
386
554.3 IPS |
|
|
Machine Translation (F32)
|
100% |
898
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
899
16.5 IPS |
|
|
Machine Translation (I8)
|
70% |
470
8.64 IPS |
