Microsoft Corporation Surface Pro 9
Geekbench ML Score
2202
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 09:34 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 | 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1143
213.9 IPS |
|
|
Image Classification (F16)
|
100% |
1100
205.9 IPS |
|
|
Image Classification (I8)
|
99% |
2034
380.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
928
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
893
14.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2038
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3167
3.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
3161
3.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
9482
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1181
88.1 IPS |
|
|
Object Detection (F16)
|
100% |
1163
86.9 IPS |
|
|
Object Detection (I8)
|
62% |
1137
84.9 IPS |
|
|
Face Detection (F32)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (I8)
|
89% |
2791
33.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3603
27.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3659
28.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
7594
58.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7433
9.78 IPS |
|
|
Style Transfer (F16)
|
100% |
7660
10.1 IPS |
|
|
Style Transfer (I8)
|
98% |
13281
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1835
65.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1873
66.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2985
106.6 IPS |
|
|
Text Classification (F32)
|
100% |
987
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1020
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
905
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1284
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1318
24.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1883
34.6 IPS |
