Microsoft Corporation Surface Pro 9
Geekbench ML Score
2205
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 18 2025 04:11 AM |
| Views | 7 |
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% |
1037
194.0 IPS |
|
|
Image Classification (F16)
|
100% |
1034
193.5 IPS |
|
|
Image Classification (I8)
|
100% |
831
155.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1741
29.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1748
29.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1261
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10764
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
10730
13.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
5249
6.36 IPS |
|
|
Object Detection (F32)
|
100% |
1127
84.2 IPS |
|
|
Object Detection (F16)
|
100% |
1115
83.2 IPS |
|
|
Object Detection (I8)
|
54% |
901
67.2 IPS |
|
|
Face Detection (F32)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (F16)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (I8)
|
89% |
1669
19.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5292
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5239
40.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3893
30.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23293
30.6 IPS |
|
|
Style Transfer (F16)
|
100% |
22689
29.8 IPS |
|
|
Style Transfer (I8)
|
98% |
14457
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3284
117.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3267
116.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1390
49.6 IPS |
|
|
Text Classification (F32)
|
100% |
673
967.5 IPS |
|
|
Text Classification (F16)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
398
571.3 IPS |
|
|
Machine Translation (F32)
|
100% |
875
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
877
16.1 IPS |
|
|
Machine Translation (I8)
|
70% |
467
8.59 IPS |
