Microsoft Corporation Surface Pro 9
Geekbench ML Score
2080
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 21 2024 11:53 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 | 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% |
903
169.0 IPS |
|
|
Image Classification (F16)
|
100% |
906
169.5 IPS |
|
|
Image Classification (I8)
|
100% |
740
138.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1538
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1630
27.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1166
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10529
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10460
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
5171
6.26 IPS |
|
|
Object Detection (F32)
|
100% |
977
73.0 IPS |
|
|
Object Detection (F16)
|
100% |
889
66.4 IPS |
|
|
Object Detection (I8)
|
54% |
808
60.3 IPS |
|
|
Face Detection (F32)
|
100% |
2217
26.4 IPS |
|
|
Face Detection (F16)
|
100% |
2263
26.9 IPS |
|
|
Face Detection (I8)
|
89% |
1552
18.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5344
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5417
42.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3849
29.8 IPS |
|
|
Style Transfer (F32)
|
100% |
22509
29.6 IPS |
|
|
Style Transfer (F16)
|
100% |
22232
29.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14191
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3093
110.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3043
108.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1383
49.4 IPS |
|
|
Text Classification (F32)
|
100% |
688
988.8 IPS |
|
|
Text Classification (F16)
|
100% |
677
973.5 IPS |
|
|
Text Classification (I8)
|
98% |
335
481.9 IPS |
|
|
Machine Translation (F32)
|
100% |
912
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
910
16.7 IPS |
|
|
Machine Translation (I8)
|
70% |
475
8.74 IPS |
