Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
2381
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 12:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 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% |
978
183.0 IPS |
|
|
Image Classification (F16)
|
100% |
983
184.0 IPS |
|
|
Image Classification (I8)
|
99% |
2235
418.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
963
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
863
14.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2271
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3536
4.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
3508
4.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
12658
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1120
83.6 IPS |
|
|
Object Detection (F16)
|
100% |
1113
83.1 IPS |
|
|
Object Detection (I8)
|
62% |
1310
97.8 IPS |
|
|
Face Detection (F32)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (F16)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (I8)
|
89% |
3345
39.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3750
29.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3821
29.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
9512
73.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8769
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8809
11.6 IPS |
|
|
Style Transfer (I8)
|
98% |
15483
20.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1864
66.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1874
66.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3543
126.5 IPS |
|
|
Text Classification (F32)
|
100% |
1059
1.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1036
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
986
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1290
23.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2202
40.5 IPS |
