Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2861
Single Precision Score
4821
Half Precision Score
2008
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 14 2025 09:46 AM |
| Views | 3 |
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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2810
522.5 IPS |
|
|
Image Classification (Q)
|
99% |
1098
204.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4302
69.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1331
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7584
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
12482
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
6709
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
2919
232.2 IPS |
|
|
Object Detection (Q)
|
89% |
1198
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4727
56.2 IPS |
|
|
Face Detection (Q)
|
97% |
1865
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5427
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12702
98.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
4062
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23013
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37437
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17737
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4203
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2362
87.5 IPS |
|
|
Text Classification (SP)
|
86% |
689
932.5 IPS |
|
|
Text Classification (HP)
|
99% |
648
865.4 IPS |
|
|
Text Classification (Q)
|
83% |
479
652.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
60% |
599
13.4 IPS |
