Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
1220
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 10:50 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 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% |
480
89.9 IPS |
|
|
Image Classification (F16)
|
100% |
487
91.1 IPS |
|
|
Image Classification (I8)
|
99% |
1042
195.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
365
6.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
461
7.70 IPS |
|
|
Image Segmentation (I8)
|
98% |
1082
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2571
3.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
2474
3.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
7381
8.94 IPS |
|
|
Object Detection (F32)
|
100% |
541
40.4 IPS |
|
|
Object Detection (F16)
|
100% |
539
40.2 IPS |
|
|
Object Detection (I8)
|
62% |
582
43.5 IPS |
|
|
Face Detection (F32)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (F16)
|
100% |
1460
17.4 IPS |
|
|
Face Detection (I8)
|
89% |
1646
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2269
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2263
17.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
4656
36.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5290
6.96 IPS |
|
|
Style Transfer (F16)
|
100% |
5358
7.05 IPS |
|
|
Style Transfer (I8)
|
98% |
9599
12.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
897
32.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
865
30.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1516
54.1 IPS |
|
|
Text Classification (F32)
|
100% |
478
686.5 IPS |
|
|
Text Classification (F16)
|
100% |
482
692.0 IPS |
|
|
Text Classification (I8)
|
98% |
429
616.8 IPS |
|
|
Machine Translation (F32)
|
100% |
657
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
656
12.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1061
19.5 IPS |
