Microsoft Corporation Surface Pro 9
Geekbench ML Score
1868
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 21 2024 10:29 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
994
186.0 IPS |
|
|
Image Classification (F16)
|
100% |
999
186.9 IPS |
|
|
Image Classification (I8)
|
99% |
1707
319.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1780
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2436
2.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
2610
3.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
7193
8.71 IPS |
|
|
Object Detection (F32)
|
100% |
977
72.9 IPS |
|
|
Object Detection (F16)
|
100% |
968
72.2 IPS |
|
|
Object Detection (I8)
|
62% |
911
68.0 IPS |
|
|
Face Detection (F32)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (I8)
|
89% |
2451
29.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3057
23.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3211
24.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
6814
52.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7233
9.51 IPS |
|
|
Style Transfer (F16)
|
100% |
7125
9.37 IPS |
|
|
Style Transfer (I8)
|
98% |
11582
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1599
57.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1399
50.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2512
89.7 IPS |
|
|
Text Classification (F32)
|
100% |
815
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
844
1.21 KIPS |
|
|
Text Classification (I8)
|
98% |
769
1.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1097
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1492
27.5 IPS |
