Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
1222
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 10:54 AM |
| 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 14 |
| L1 Data Cache | 32.0 KB x 14 |
| 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% |
474
88.7 IPS |
|
|
Image Classification (F16)
|
100% |
478
89.5 IPS |
|
|
Image Classification (I8)
|
99% |
1035
193.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
427
7.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
470
7.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2583
3.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
2497
3.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
6792
8.22 IPS |
|
|
Object Detection (F32)
|
100% |
524
39.1 IPS |
|
|
Object Detection (F16)
|
100% |
527
39.3 IPS |
|
|
Object Detection (I8)
|
62% |
543
40.5 IPS |
|
|
Face Detection (F32)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (I8)
|
89% |
1676
19.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2413
18.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2478
19.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
4360
33.8 IPS |
|
|
Style Transfer (F32)
|
100% |
5050
6.64 IPS |
|
|
Style Transfer (F16)
|
100% |
5048
6.64 IPS |
|
|
Style Transfer (I8)
|
98% |
8068
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
920
32.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
938
33.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1546
55.2 IPS |
|
|
Text Classification (F32)
|
100% |
481
691.4 IPS |
|
|
Text Classification (F16)
|
100% |
486
697.8 IPS |
|
|
Text Classification (I8)
|
98% |
418
600.2 IPS |
|
|
Machine Translation (F32)
|
100% |
658
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
659
12.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1062
19.5 IPS |
