Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
1655
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 07 2024 06:16 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 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
645
120.7 IPS |
|
|
Image Classification (F16)
|
100% |
638
119.4 IPS |
|
|
Image Classification (I8)
|
100% |
577
108.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
769
12.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
693
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6957
8.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
7003
8.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
6126
7.42 IPS |
|
|
Object Detection (F32)
|
100% |
600
44.8 IPS |
|
|
Object Detection (F16)
|
100% |
587
43.8 IPS |
|
|
Object Detection (I8)
|
54% |
524
39.1 IPS |
|
|
Face Detection (F32)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (I8)
|
89% |
899
10.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3558
27.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3520
27.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3092
24.0 IPS |
|
|
Style Transfer (F32)
|
100% |
19070
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
19100
25.1 IPS |
|
|
Style Transfer (I8)
|
98% |
15849
20.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3664
130.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3855
137.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2675
95.5 IPS |
|
|
Text Classification (F32)
|
90% |
622
893.6 IPS |
|
|
Text Classification (F16)
|
90% |
622
893.6 IPS |
|
|
Text Classification (I8)
|
90% |
431
619.0 IPS |
|
|
Machine Translation (F32)
|
100% |
969
17.8 IPS |
|
|
Machine Translation (F16)
|
100% |
967
17.8 IPS |
|
|
Machine Translation (I8)
|
70% |
561
10.3 IPS |
