Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
1662
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 04:35 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 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% |
546
102.2 IPS |
|
|
Image Classification (F16)
|
100% |
573
107.2 IPS |
|
|
Image Classification (I8)
|
100% |
551
103.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
770
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
687
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7070
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
7064
8.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
6230
7.54 IPS |
|
|
Object Detection (F32)
|
100% |
557
41.6 IPS |
|
|
Object Detection (F16)
|
100% |
547
40.8 IPS |
|
|
Object Detection (I8)
|
54% |
513
38.3 IPS |
|
|
Face Detection (F32)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (I8)
|
89% |
894
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3523
27.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3559
27.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3150
24.4 IPS |
|
|
Style Transfer (F32)
|
100% |
19090
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
19190
25.2 IPS |
|
|
Style Transfer (I8)
|
98% |
16098
21.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3823
136.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3771
134.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2568
91.7 IPS |
|
|
Text Classification (F32)
|
90% |
553
795.0 IPS |
|
|
Text Classification (F16)
|
90% |
556
798.9 IPS |
|
|
Text Classification (I8)
|
90% |
396
568.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1380
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (I8)
|
70% |
679
12.5 IPS |
