Microsoft Corporation Surface Pro 9
Geekbench ML Score
588
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 09:32 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 | 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% |
292
54.6 IPS |
|
|
Image Classification (F16)
|
100% |
289
54.1 IPS |
|
|
Image Classification (I8)
|
100% |
233
43.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
466
7.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
468
7.81 IPS |
|
|
Image Segmentation (I8)
|
98% |
330
5.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
2761
3.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
2756
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
1309
1.59 IPS |
|
|
Object Detection (F32)
|
100% |
319
23.8 IPS |
|
|
Object Detection (F16)
|
100% |
315
23.5 IPS |
|
|
Object Detection (I8)
|
54% |
268
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
658
7.83 IPS |
|
|
Face Detection (F16)
|
100% |
654
7.78 IPS |
|
|
Face Detection (I8)
|
89% |
440
5.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
1406
10.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1411
10.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
987
7.65 IPS |
|
|
Style Transfer (F32)
|
100% |
5583
7.34 IPS |
|
|
Style Transfer (F16)
|
100% |
5503
7.24 IPS |
|
|
Style Transfer (I8)
|
98% |
3552
4.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
807
28.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
848
30.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
348
12.4 IPS |
|
|
Text Classification (F32)
|
100% |
185
265.3 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.3 IPS |
|
|
Text Classification (I8)
|
98% |
104
149.3 IPS |
|
|
Machine Translation (F32)
|
100% |
263
4.84 IPS |
|
|
Machine Translation (F16)
|
100% |
260
4.79 IPS |
|
|
Machine Translation (I8)
|
70% |
131
2.42 IPS |
