Microsoft Corporation Surface Pro 9
Geekbench ML Score
1579
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 06:06 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% |
1118
209.2 IPS |
|
|
Image Classification (F16)
|
100% |
1083
202.7 IPS |
|
|
Image Classification (I8)
|
100% |
843
157.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1725
28.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1763
29.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1168
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10506
12.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
10561
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5289
6.40 IPS |
|
|
Object Detection (F32)
|
100% |
1260
94.1 IPS |
|
|
Object Detection (F16)
|
100% |
1249
93.3 IPS |
|
|
Object Detection (I8)
|
54% |
1061
79.2 IPS |
|
|
Face Detection (F32)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (F16)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (I8)
|
89% |
1675
19.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5422
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5427
42.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3630
28.2 IPS |
|
|
Style Transfer (F32)
|
100% |
21975
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
20173
26.5 IPS |
|
|
Style Transfer (I8)
|
98% |
12925
17.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2770
98.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
857
30.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
362
12.9 IPS |
|
|
Text Classification (F32)
|
100% |
209
299.7 IPS |
|
|
Text Classification (F16)
|
100% |
204
292.5 IPS |
|
|
Text Classification (I8)
|
98% |
101
144.5 IPS |
|
|
Machine Translation (F32)
|
100% |
286
5.27 IPS |
|
|
Machine Translation (F16)
|
100% |
271
4.98 IPS |
|
|
Machine Translation (I8)
|
70% |
133
2.44 IPS |
