Microsoft Corporation Surface Pro 9
Geekbench ML Score
2198
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 10:57 AM |
| Views | 4 |
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% |
1202
225.0 IPS |
|
|
Image Classification (F16)
|
100% |
1208
226.1 IPS |
|
|
Image Classification (I8)
|
99% |
1914
358.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
734
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
746
12.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1799
30.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2983
3.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
2999
3.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
7924
9.60 IPS |
|
|
Object Detection (F32)
|
100% |
1046
78.1 IPS |
|
|
Object Detection (F16)
|
100% |
903
67.4 IPS |
|
|
Object Detection (I8)
|
62% |
973
72.6 IPS |
|
|
Face Detection (F32)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (F16)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (I8)
|
89% |
2969
35.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3995
31.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3942
30.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
7847
60.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8445
11.1 IPS |
|
|
Style Transfer (F16)
|
100% |
8328
11.0 IPS |
|
|
Style Transfer (I8)
|
98% |
12277
16.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1733
61.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1983
70.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3216
114.8 IPS |
|
|
Text Classification (F32)
|
100% |
1117
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1127
1.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1044
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1410
25.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2063
38.0 IPS |
