Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2102
Single Precision Score
8132
Half Precision Score
12159
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 04:19 PM |
| Views | 6 |
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% |
1097
204.1 IPS |
|
|
Image Classification (HP)
|
100% |
5783
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7864
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3161
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3020
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
29538
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63556
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
100% |
4887
387.7 IPS |
|
|
Object Detection (Q)
|
87% |
7645
613.6 IPS |
|
|
Face Detection (SP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
13080
155.4 IPS |
|
|
Face Detection (Q)
|
100% |
20154
239.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3785
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16844
129.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
31145
242.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9848
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45657
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81830
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12150
448.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21610
800.3 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.3 IPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1900
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2772
47.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2774
47.8 IPS |
