Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2061
Single Precision Score
7880
Half Precision Score
12057
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 09:15 PM |
| Views | 3 |
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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
5562
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
7657
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3106
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2324
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
29428
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63556
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
4851
384.8 IPS |
|
|
Object Detection (Q)
|
87% |
7510
602.7 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
12767
151.7 IPS |
|
|
Face Detection (Q)
|
100% |
20327
241.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3779
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16739
129.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30841
240.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9842
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45436
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82134
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12185
449.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21679
802.9 IPS |
|
|
Text Classification (SP)
|
100% |
652
869.9 IPS |
|
|
Text Classification (HP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1832
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2797
48.2 IPS |
