Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
2276
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 02:51 PM |
| Views | 4 |
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% |
923
172.6 IPS |
|
|
Image Classification (F16)
|
100% |
882
165.0 IPS |
|
|
Image Classification (I8)
|
99% |
2157
403.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
671
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2320
38.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3385
4.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
3342
4.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
13657
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1120
83.6 IPS |
|
|
Object Detection (F16)
|
100% |
999
74.6 IPS |
|
|
Object Detection (I8)
|
62% |
982
73.3 IPS |
|
|
Face Detection (F32)
|
100% |
2300
27.4 IPS |
|
|
Face Detection (F16)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (I8)
|
89% |
3295
39.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4070
31.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3869
30.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
8688
67.4 IPS |
|
|
Style Transfer (F32)
|
100% |
8876
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8802
11.6 IPS |
|
|
Style Transfer (I8)
|
98% |
14624
19.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1816
64.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1958
69.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3513
125.4 IPS |
|
|
Text Classification (F32)
|
100% |
937
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1038
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
930
1.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1328
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1309
24.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2217
40.8 IPS |
