Microsoft Corporation Surface Pro 9
Geekbench ML Score
2319
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 15 2025 05:44 AM |
| Views | 8 |
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% |
1213
226.9 IPS |
|
|
Image Classification (F16)
|
100% |
1179
220.6 IPS |
|
|
Image Classification (I8)
|
99% |
1935
362.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
911
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
922
15.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2207
36.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3481
4.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
3593
4.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
10403
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1262
94.2 IPS |
|
|
Object Detection (F16)
|
100% |
1264
94.3 IPS |
|
|
Object Detection (I8)
|
62% |
1231
91.9 IPS |
|
|
Face Detection (F32)
|
100% |
2311
27.5 IPS |
|
|
Face Detection (F16)
|
100% |
2258
26.8 IPS |
|
|
Face Detection (I8)
|
89% |
2969
35.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4233
32.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4165
32.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
7740
60.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8773
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8809
11.6 IPS |
|
|
Style Transfer (I8)
|
98% |
13284
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1805
64.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1884
67.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3026
108.1 IPS |
|
|
Text Classification (F32)
|
100% |
1059
1.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1044
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
1009
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1192
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1253
23.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1889
34.8 IPS |
