Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
1160
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 11:01 AM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
513
96.0 IPS |
|
|
Image Classification (F16)
|
100% |
508
95.1 IPS |
|
|
Image Classification (I8)
|
99% |
1107
207.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
412
6.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
443
7.39 IPS |
|
|
Image Segmentation (I8)
|
98% |
1172
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2416
2.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
2468
2.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
7462
9.04 IPS |
|
|
Object Detection (F32)
|
100% |
564
42.1 IPS |
|
|
Object Detection (F16)
|
100% |
549
41.0 IPS |
|
|
Object Detection (I8)
|
62% |
590
44.0 IPS |
|
|
Face Detection (F32)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (F16)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (I8)
|
89% |
1666
19.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1808
14.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1121
8.70 IPS |
|
|
Depth Estimation (I8)
|
96% |
3875
30.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4668
6.14 IPS |
|
|
Style Transfer (F16)
|
100% |
4581
6.03 IPS |
|
|
Style Transfer (I8)
|
98% |
7418
9.76 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
830
29.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
803
28.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1562
55.8 IPS |
|
|
Text Classification (F32)
|
100% |
436
626.2 IPS |
|
|
Text Classification (F16)
|
100% |
463
665.4 IPS |
|
|
Text Classification (I8)
|
98% |
433
622.6 IPS |
|
|
Machine Translation (F32)
|
100% |
613
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
606
11.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1004
18.5 IPS |
