Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
1502
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 10:58 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
564
105.6 IPS |
|
|
Image Classification (F16)
|
100% |
553
103.5 IPS |
|
|
Image Classification (I8)
|
100% |
482
90.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
728
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
711
11.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
669
11.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6789
8.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
6882
8.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
5902
7.15 IPS |
|
|
Object Detection (F32)
|
100% |
511
38.1 IPS |
|
|
Object Detection (F16)
|
100% |
509
38.0 IPS |
|
|
Object Detection (I8)
|
54% |
502
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
998
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
970
11.5 IPS |
|
|
Face Detection (I8)
|
89% |
878
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3381
26.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3312
25.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
2865
22.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17614
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
18152
23.9 IPS |
|
|
Style Transfer (I8)
|
98% |
14687
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3527
126.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3447
123.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2273
81.2 IPS |
|
|
Text Classification (F32)
|
90% |
458
658.3 IPS |
|
|
Text Classification (F16)
|
90% |
366
526.2 IPS |
|
|
Text Classification (I8)
|
90% |
243
349.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1199
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1198
22.1 IPS |
|
|
Machine Translation (I8)
|
70% |
523
9.63 IPS |
