Microsoft Corporation Surface Pro 9
Geekbench ML Score
2074
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 02:22 PM |
| Views | 3 |
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% |
988
184.8 IPS |
|
|
Image Classification (F16)
|
100% |
908
169.8 IPS |
|
|
Image Classification (I8)
|
100% |
740
138.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1510
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1531
25.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1147
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10402
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10553
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5232
6.34 IPS |
|
|
Object Detection (F32)
|
100% |
975
72.8 IPS |
|
|
Object Detection (F16)
|
100% |
1072
80.1 IPS |
|
|
Object Detection (I8)
|
54% |
890
66.5 IPS |
|
|
Face Detection (F32)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (F16)
|
100% |
2273
27.0 IPS |
|
|
Face Detection (I8)
|
89% |
1542
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5026
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4949
38.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3693
28.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21949
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
21547
28.3 IPS |
|
|
Style Transfer (I8)
|
98% |
13770
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2981
106.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3037
108.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1354
48.4 IPS |
|
|
Text Classification (F32)
|
100% |
645
926.7 IPS |
|
|
Text Classification (F16)
|
100% |
722
1.04 KIPS |
|
|
Text Classification (I8)
|
98% |
324
465.7 IPS |
|
|
Machine Translation (F32)
|
100% |
921
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
896
16.5 IPS |
|
|
Machine Translation (I8)
|
70% |
474
8.73 IPS |
