Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1453
Single Precision Score
7564
Half Precision Score
11554
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 07 2024 05:19 AM |
| 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% |
1080
200.8 IPS |
|
|
Image Classification (HP)
|
100% |
5605
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7438
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3144
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2907
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
29543
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63741
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
1100
87.3 IPS |
|
|
Object Detection (HP)
|
100% |
4841
384.0 IPS |
|
|
Object Detection (Q)
|
87% |
7460
598.8 IPS |
|
|
Face Detection (SP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
11674
138.7 IPS |
|
|
Face Detection (Q)
|
100% |
19477
231.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2672
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15101
116.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30252
235.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4848
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
39753
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
75695
97.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11244
415.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20420
756.2 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.8 IPS |
|
|
Text Classification (HP)
|
100% |
1757
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1690
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2376
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2478
42.7 IPS |
