Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
1767
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 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% |
616
115.3 IPS |
|
|
Image Classification (F16)
|
100% |
641
120.0 IPS |
|
|
Image Classification (I8)
|
100% |
578
108.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
702
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7000
8.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
7055
8.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
6239
7.56 IPS |
|
|
Object Detection (F32)
|
100% |
623
46.5 IPS |
|
|
Object Detection (F16)
|
100% |
617
46.1 IPS |
|
|
Object Detection (I8)
|
54% |
583
43.5 IPS |
|
|
Face Detection (F32)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (I8)
|
89% |
908
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3561
27.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3639
28.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3148
24.4 IPS |
|
|
Style Transfer (F32)
|
100% |
19374
25.5 IPS |
|
|
Style Transfer (F16)
|
100% |
19579
25.8 IPS |
|
|
Style Transfer (I8)
|
98% |
16170
21.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3862
137.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3668
131.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2768
98.8 IPS |
|
|
Text Classification (F32)
|
90% |
627
901.6 IPS |
|
|
Text Classification (F16)
|
90% |
624
896.7 IPS |
|
|
Text Classification (I8)
|
90% |
436
627.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1755
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1767
32.5 IPS |
|
|
Machine Translation (I8)
|
70% |
773
14.2 IPS |
