Microsoft Corporation Surface Pro 9
Geekbench ML Score
2111
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 21 2024 10:23 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% |
1051
196.6 IPS |
|
|
Image Classification (F16)
|
100% |
1036
193.9 IPS |
|
|
Image Classification (I8)
|
100% |
816
152.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1715
28.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1602
26.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1230
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10418
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10394
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
5191
6.29 IPS |
|
|
Object Detection (F32)
|
100% |
1239
92.5 IPS |
|
|
Object Detection (F16)
|
100% |
1209
90.2 IPS |
|
|
Object Detection (I8)
|
54% |
991
74.0 IPS |
|
|
Face Detection (F32)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (F16)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (I8)
|
89% |
1543
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5075
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4967
38.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
3582
27.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21604
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
21967
28.9 IPS |
|
|
Style Transfer (I8)
|
98% |
13886
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3001
107.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2956
105.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1350
48.2 IPS |
|
|
Text Classification (F32)
|
100% |
691
993.7 IPS |
|
|
Text Classification (F16)
|
100% |
690
992.1 IPS |
|
|
Text Classification (I8)
|
98% |
324
465.8 IPS |
|
|
Machine Translation (F32)
|
100% |
692
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
694
12.8 IPS |
|
|
Machine Translation (I8)
|
70% |
457
8.41 IPS |
