Microsoft Corporation Surface Pro 9
Geekbench ML Score
1836
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 07:16 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% |
656
122.7 IPS |
|
|
Image Classification (F16)
|
100% |
871
162.9 IPS |
|
|
Image Classification (I8)
|
99% |
1362
254.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
767
12.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1763
29.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2899
3.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
2947
3.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
8231
9.97 IPS |
|
|
Object Detection (F32)
|
100% |
1049
78.4 IPS |
|
|
Object Detection (F16)
|
100% |
1038
77.5 IPS |
|
|
Object Detection (I8)
|
62% |
957
71.5 IPS |
|
|
Face Detection (F32)
|
100% |
2048
24.4 IPS |
|
|
Face Detection (F16)
|
100% |
1950
23.2 IPS |
|
|
Face Detection (I8)
|
89% |
2386
28.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3170
24.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3288
25.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
6156
47.7 IPS |
|
|
Style Transfer (F32)
|
100% |
6589
8.67 IPS |
|
|
Style Transfer (F16)
|
100% |
6637
8.73 IPS |
|
|
Style Transfer (I8)
|
98% |
10996
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1491
53.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1408
50.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2255
80.5 IPS |
|
|
Text Classification (F32)
|
100% |
839
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
815
1.17 KIPS |
|
|
Text Classification (I8)
|
98% |
763
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1105
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1581
29.1 IPS |
