Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2179
Single Precision Score
8246
Half Precision Score
12509
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 17 2025 12:50 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
5955
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7888
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3178
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
29673
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64175
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
100% |
5053
400.8 IPS |
|
|
Object Detection (Q)
|
87% |
7901
634.1 IPS |
|
|
Face Detection (SP)
|
100% |
3665
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
13205
156.9 IPS |
|
|
Face Detection (Q)
|
100% |
21366
253.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3751
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17110
131.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
31509
245.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9446
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45894
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84474
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12588
464.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22397
829.4 IPS |
|
|
Text Classification (SP)
|
100% |
650
868.1 IPS |
|
|
Text Classification (HP)
|
100% |
2004
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2018
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2634
45.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2872
49.5 IPS |
