Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
2335
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 09:09 PM |
| 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% |
958
179.3 IPS |
|
|
Image Classification (F16)
|
100% |
956
178.9 IPS |
|
|
Image Classification (I8)
|
99% |
2164
405.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
803
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
917
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2464
41.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3283
3.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
3561
4.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
13531
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1089
81.3 IPS |
|
|
Object Detection (F16)
|
100% |
1088
81.2 IPS |
|
|
Object Detection (I8)
|
62% |
1256
93.7 IPS |
|
|
Face Detection (F32)
|
100% |
2620
31.2 IPS |
|
|
Face Detection (F16)
|
100% |
2468
29.4 IPS |
|
|
Face Detection (I8)
|
89% |
3240
38.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4005
31.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3543
27.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
8737
67.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8335
11.0 IPS |
|
|
Style Transfer (F16)
|
100% |
8789
11.6 IPS |
|
|
Style Transfer (I8)
|
98% |
14667
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1829
65.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1921
68.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3246
115.9 IPS |
|
|
Text Classification (F32)
|
100% |
1048
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1050
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
994
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1304
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1301
23.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2249
41.4 IPS |
