Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2109
Single Precision Score
7837
Half Precision Score
11683
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 15 2025 12:19 AM |
| Views | 6 |
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 | 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
5701
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7617
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3139
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
29381
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62682
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
100% |
4642
368.2 IPS |
|
|
Object Detection (Q)
|
87% |
6907
554.3 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
12643
150.2 IPS |
|
|
Face Detection (Q)
|
100% |
20655
245.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3691
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16662
128.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30360
236.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8633
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45259
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
81139
104.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11939
440.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21077
780.6 IPS |
|
|
Text Classification (SP)
|
100% |
639
853.4 IPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1776
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2403
41.4 IPS |
