Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2100
Single Precision Score
7522
Half Precision Score
11021
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 11:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
952
177.0 IPS |
|
|
Image Classification (HP)
|
100% |
5228
972.2 IPS |
|
|
Image Classification (Q)
|
100% |
7395
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2956
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3499
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
29264
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
62983
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (Q)
|
87% |
6669
535.3 IPS |
|
|
Face Detection (SP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
10979
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
15933
189.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4013
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16650
128.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30353
236.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10094
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45721
58.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81472
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11873
438.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20595
762.7 IPS |
|
|
Text Classification (SP)
|
100% |
496
661.4 IPS |
|
|
Text Classification (HP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2098
36.1 IPS |
