Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2261
Single Precision Score
8096
Half Precision Score
12144
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:36 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% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
5730
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8004
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3110
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
29418
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63383
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
100% |
4940
391.9 IPS |
|
|
Object Detection (Q)
|
87% |
7486
600.8 IPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
12990
154.3 IPS |
|
|
Face Detection (Q)
|
100% |
21153
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4054
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16757
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30647
238.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10214
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45298
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
81978
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12041
444.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21486
795.7 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.0 IPS |
|
|
Text Classification (HP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1867
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2766
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2772
47.7 IPS |
