Microsoft Corporation Surface Pro 9
Geekbench ML Score
1571
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 09:41 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% |
298
55.8 IPS |
|
|
Image Classification (F16)
|
100% |
292
54.7 IPS |
|
|
Image Classification (I8)
|
100% |
238
44.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
485
8.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
461
7.70 IPS |
|
|
Image Segmentation (I8)
|
98% |
326
5.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
2658
3.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
2737
3.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
5280
6.39 IPS |
|
|
Object Detection (F32)
|
100% |
1103
82.3 IPS |
|
|
Object Detection (F16)
|
100% |
1092
81.6 IPS |
|
|
Object Detection (I8)
|
54% |
903
67.4 IPS |
|
|
Face Detection (F32)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2454
29.2 IPS |
|
|
Face Detection (I8)
|
89% |
1644
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5187
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5194
40.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3766
29.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22335
29.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22314
29.4 IPS |
|
|
Style Transfer (I8)
|
98% |
14312
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3290
117.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3280
117.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1424
50.8 IPS |
|
|
Text Classification (F32)
|
100% |
722
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
431
619.9 IPS |
|
|
Machine Translation (F32)
|
100% |
974
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
977
18.0 IPS |
|
|
Machine Translation (I8)
|
70% |
505
9.30 IPS |
