Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2805
Single Precision Score
4848
Half Precision Score
2016
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 14 2025 09:42 AM |
| Views | 4 |
| Notes | GEEKED AND ALL OF THE OTHER THING I WANT |
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% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2887
536.8 IPS |
|
|
Image Classification (Q)
|
99% |
1060
197.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4667
75.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1523
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7783
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
12630
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
6707
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
2873
228.5 IPS |
|
|
Object Detection (Q)
|
89% |
1197
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (Q)
|
97% |
1899
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5459
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12771
98.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
4197
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22778
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36648
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17835
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6992
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2060
76.3 IPS |
|
|
Text Classification (SP)
|
86% |
617
834.9 IPS |
|
|
Text Classification (HP)
|
99% |
656
875.0 IPS |
|
|
Text Classification (Q)
|
83% |
466
634.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (Q)
|
60% |
629
14.0 IPS |
