Microsoft Corporation Surface Pro 9
Geekbench ML Score
2200
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 07:50 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% |
999
187.0 IPS |
|
|
Image Classification (F16)
|
100% |
1056
197.6 IPS |
|
|
Image Classification (I8)
|
100% |
813
152.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1716
28.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1654
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1226
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10658
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
10645
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
5217
6.32 IPS |
|
|
Object Detection (F32)
|
100% |
1235
92.2 IPS |
|
|
Object Detection (F16)
|
100% |
1194
89.2 IPS |
|
|
Object Detection (I8)
|
54% |
1008
75.2 IPS |
|
|
Face Detection (F32)
|
100% |
2359
28.1 IPS |
|
|
Face Detection (F16)
|
100% |
2376
28.3 IPS |
|
|
Face Detection (I8)
|
89% |
1604
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5182
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5193
40.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3677
28.5 IPS |
|
|
Style Transfer (F32)
|
100% |
22452
29.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22276
29.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14187
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3120
111.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3080
110.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1363
48.7 IPS |
|
|
Text Classification (F32)
|
100% |
717
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
98% |
412
592.4 IPS |
|
|
Machine Translation (F32)
|
100% |
937
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
914
16.8 IPS |
|
|
Machine Translation (I8)
|
70% |
454
8.36 IPS |
