Microsoft Corporation Surface Pro 9
Geekbench ML Score
1946
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 12:05 PM |
| 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% |
961
179.9 IPS |
|
|
Image Classification (F16)
|
100% |
996
186.3 IPS |
|
|
Image Classification (I8)
|
99% |
1749
327.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1787
29.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2985
3.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
2864
3.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
8097
9.81 IPS |
|
|
Object Detection (F32)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (F16)
|
100% |
981
73.2 IPS |
|
|
Object Detection (I8)
|
62% |
944
70.5 IPS |
|
|
Face Detection (F32)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (F16)
|
100% |
2119
25.2 IPS |
|
|
Face Detection (I8)
|
89% |
2574
30.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3449
26.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3269
25.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
6224
48.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7022
9.24 IPS |
|
|
Style Transfer (F16)
|
100% |
7304
9.61 IPS |
|
|
Style Transfer (I8)
|
98% |
11835
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1590
56.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1495
53.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2580
92.2 IPS |
|
|
Text Classification (F32)
|
100% |
843
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
852
1.22 KIPS |
|
|
Text Classification (I8)
|
98% |
781
1.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1580
29.1 IPS |
