Microsoft Corporation Surface Pro 9
Geekbench ML Score
2214
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 08:06 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 | 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% |
1028
192.4 IPS |
|
|
Image Classification (F16)
|
100% |
1034
193.4 IPS |
|
|
Image Classification (I8)
|
100% |
835
156.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1688
28.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1670
27.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1185
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10623
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
10527
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
5281
6.40 IPS |
|
|
Object Detection (F32)
|
100% |
1206
90.0 IPS |
|
|
Object Detection (F16)
|
100% |
1238
92.4 IPS |
|
|
Object Detection (I8)
|
54% |
1013
75.6 IPS |
|
|
Face Detection (F32)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (F16)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (I8)
|
89% |
1593
18.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5218
40.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5109
39.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3691
28.6 IPS |
|
|
Style Transfer (F32)
|
100% |
22605
29.7 IPS |
|
|
Style Transfer (F16)
|
100% |
22447
29.5 IPS |
|
|
Style Transfer (I8)
|
98% |
14384
18.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3115
111.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3141
112.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1383
49.4 IPS |
|
|
Text Classification (F32)
|
100% |
764
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
744
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
405
581.5 IPS |
|
|
Machine Translation (F32)
|
100% |
945
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
939
17.3 IPS |
|
|
Machine Translation (I8)
|
70% |
488
8.98 IPS |
