Microsoft Corporation Surface Pro 10 for Business
Geekbench ML Score
2238
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 09:21 PM |
| 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 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% |
990
185.3 IPS |
|
|
Image Classification (F16)
|
100% |
974
182.3 IPS |
|
|
Image Classification (I8)
|
99% |
2141
400.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
858
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
845
14.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2420
40.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3383
4.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
3196
3.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
13681
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1132
84.5 IPS |
|
|
Object Detection (F16)
|
100% |
1093
81.6 IPS |
|
|
Object Detection (I8)
|
62% |
1226
91.5 IPS |
|
|
Face Detection (F32)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
2276
27.1 IPS |
|
|
Face Detection (I8)
|
89% |
2996
35.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3541
27.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3527
27.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
8695
67.4 IPS |
|
|
Style Transfer (F32)
|
100% |
8127
10.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8526
11.2 IPS |
|
|
Style Transfer (I8)
|
98% |
13851
18.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1855
66.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1699
60.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3360
120.0 IPS |
|
|
Text Classification (F32)
|
100% |
935
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
933
1.34 KIPS |
|
|
Text Classification (I8)
|
98% |
933
1.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1186
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1310
24.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2281
42.0 IPS |
