Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2950
Single Precision Score
5013
Half Precision Score
2082
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 02 2025 02:43 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Bitsum Highest Performance |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.1 IPS |
|
|
Image Classification (Q)
|
99% |
1138
212.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4637
75.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7746
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
12601
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
6688
7.84 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
3111
247.5 IPS |
|
|
Object Detection (Q)
|
89% |
1216
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
2593
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
4827
57.4 IPS |
|
|
Face Detection (Q)
|
97% |
1924
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12922
99.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
4196
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22803
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36606
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17584
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7116
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2400
88.9 IPS |
|
|
Text Classification (SP)
|
86% |
714
965.4 IPS |
|
|
Text Classification (HP)
|
99% |
646
862.1 IPS |
|
|
Text Classification (Q)
|
83% |
501
681.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (Q)
|
60% |
641
14.3 IPS |
