Microsoft Corporation Surface Pro 9
Geekbench ML Score
1936
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 11:47 AM |
| Views | 3 |
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% |
976
182.6 IPS |
|
|
Image Classification (F16)
|
100% |
999
186.9 IPS |
|
|
Image Classification (I8)
|
99% |
1677
313.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
799
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1786
29.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2967
3.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
2925
3.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
8344
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1094
81.6 IPS |
|
|
Object Detection (F16)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (I8)
|
62% |
994
74.2 IPS |
|
|
Face Detection (F32)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (F16)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (I8)
|
89% |
2602
30.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3310
25.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3245
25.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
6415
49.7 IPS |
|
|
Style Transfer (F32)
|
100% |
6708
8.82 IPS |
|
|
Style Transfer (F16)
|
100% |
7290
9.59 IPS |
|
|
Style Transfer (I8)
|
98% |
11677
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1533
54.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1551
55.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2299
82.1 IPS |
|
|
Text Classification (F32)
|
100% |
820
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
836
1.20 KIPS |
|
|
Text Classification (I8)
|
98% |
744
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1098
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1619
29.8 IPS |
