Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
2406
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 07:46 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% |
983
183.9 IPS |
|
|
Image Classification (F16)
|
100% |
993
185.7 IPS |
|
|
Image Classification (I8)
|
99% |
2232
417.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
955
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
915
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2594
43.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3266
3.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
3431
4.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
13352
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1191
88.9 IPS |
|
|
Object Detection (F16)
|
100% |
1151
85.9 IPS |
|
|
Object Detection (I8)
|
62% |
1287
96.1 IPS |
|
|
Face Detection (F32)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (F16)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (I8)
|
89% |
3261
38.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3943
30.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3788
29.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
9368
72.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9117
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
9338
12.3 IPS |
|
|
Style Transfer (I8)
|
98% |
15421
20.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1787
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1826
65.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3553
126.9 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1067
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
983
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2268
41.7 IPS |
