Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4700
Single Precision Score
7462
Half Precision Score
10982
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 09 2024 05:58 AM |
| 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% |
3444
640.5 IPS |
|
|
Image Classification (HP)
|
100% |
4863
904.4 IPS |
|
|
Image Classification (Q)
|
100% |
5952
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7076
114.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9120
147.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10135
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
9804
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
29347
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3037
240.9 IPS |
|
|
Object Detection (HP)
|
100% |
4836
383.6 IPS |
|
|
Object Detection (Q)
|
88% |
7240
580.2 IPS |
|
|
Face Detection (SP)
|
100% |
7834
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
14085
167.4 IPS |
|
|
Face Detection (Q)
|
100% |
20548
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7826
60.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
18694
144.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
21111
164.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25722
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28601
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75821
97.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4545
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8132
300.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12621
467.4 IPS |
|
|
Text Classification (SP)
|
71% |
1536
2.22 KIPS |
|
|
Text Classification (HP)
|
71% |
2092
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2562
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2444
42.1 IPS |
