Microsoft Corporation Surface Pro 9
Geekbench ML Score
2465
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 05 2024 09:45 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 | 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% |
1256
235.0 IPS |
|
|
Image Classification (F16)
|
100% |
1311
245.3 IPS |
|
|
Image Classification (I8)
|
99% |
2155
403.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
965
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1015
17.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2351
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3765
4.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
3798
4.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
10596
12.8 IPS |
|
|
Object Detection (F32)
|
100% |
1374
102.6 IPS |
|
|
Object Detection (F16)
|
100% |
1293
96.6 IPS |
|
|
Object Detection (I8)
|
62% |
1213
90.6 IPS |
|
|
Face Detection (F32)
|
100% |
2368
28.2 IPS |
|
|
Face Detection (F16)
|
100% |
2428
28.9 IPS |
|
|
Face Detection (I8)
|
89% |
3030
36.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4356
33.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4430
34.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
7799
60.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9369
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9298
12.2 IPS |
|
|
Style Transfer (I8)
|
98% |
13725
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2004
71.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1984
70.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3187
113.8 IPS |
|
|
Text Classification (F32)
|
100% |
1133
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1124
1.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1087
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1354
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2072
38.1 IPS |
