Microsoft Corporation Surface Pro 9
Geekbench ML Score
1931
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 21 2024 11:57 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% |
1019
190.7 IPS |
|
|
Image Classification (F16)
|
100% |
1015
189.8 IPS |
|
|
Image Classification (I8)
|
99% |
1696
317.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
813
13.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1803
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2788
3.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
2930
3.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
8056
9.76 IPS |
|
|
Object Detection (F32)
|
100% |
966
72.1 IPS |
|
|
Object Detection (F16)
|
100% |
964
72.0 IPS |
|
|
Object Detection (I8)
|
62% |
952
71.1 IPS |
|
|
Face Detection (F32)
|
100% |
2040
24.3 IPS |
|
|
Face Detection (F16)
|
100% |
2062
24.5 IPS |
|
|
Face Detection (I8)
|
89% |
2665
31.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3464
26.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3440
26.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
6552
50.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7302
9.61 IPS |
|
|
Style Transfer (F16)
|
100% |
7233
9.51 IPS |
|
|
Style Transfer (I8)
|
98% |
11549
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1562
55.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1543
55.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2512
89.7 IPS |
|
|
Text Classification (F32)
|
100% |
846
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
846
1.22 KIPS |
|
|
Text Classification (I8)
|
98% |
741
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1097
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1515
27.9 IPS |
