Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5112
Single Precision Score
7831
Half Precision Score
11439
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 12:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3375
627.6 IPS |
|
|
Image Classification (HP)
|
100% |
4844
900.8 IPS |
|
|
Image Classification (Q)
|
100% |
5666
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3733
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7427
120.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9831
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10882
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10096
11.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
32015
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3080
244.3 IPS |
|
|
Object Detection (HP)
|
100% |
4770
378.4 IPS |
|
|
Object Detection (Q)
|
88% |
7233
579.6 IPS |
|
|
Face Detection (SP)
|
100% |
7545
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
14649
174.1 IPS |
|
|
Face Detection (Q)
|
100% |
21452
254.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10907
84.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
19584
151.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22139
172.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28061
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36210
46.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78009
100.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4749
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8374
309.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12957
479.8 IPS |
|
|
Text Classification (SP)
|
71% |
1431
2.07 KIPS |
|
|
Text Classification (HP)
|
71% |
2222
3.21 KIPS |
|
|
Text Classification (Q)
|
92% |
2361
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2591
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2625
45.2 IPS |
