Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
2232
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 21 2024 10:34 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
990
185.3 IPS |
|
|
Image Classification (F16)
|
100% |
945
176.9 IPS |
|
|
Image Classification (I8)
|
99% |
2133
399.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
890
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2330
38.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3374
4.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
3128
3.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
13832
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1114
83.2 IPS |
|
|
Object Detection (F16)
|
100% |
1091
81.5 IPS |
|
|
Object Detection (I8)
|
62% |
1202
89.7 IPS |
|
|
Face Detection (F32)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (F16)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (I8)
|
89% |
3127
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3983
30.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3385
26.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8506
66.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8824
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8798
11.6 IPS |
|
|
Style Transfer (I8)
|
98% |
15184
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1721
61.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1801
64.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3309
118.2 IPS |
|
|
Text Classification (F32)
|
100% |
878
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
854
1.23 KIPS |
|
|
Text Classification (I8)
|
98% |
856
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1174
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1180
21.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1853
34.1 IPS |
