Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2240
Single Precision Score
8084
Half Precision Score
12097
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:04 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
5829
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7949
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3459
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
29329
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63113
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
4936
391.5 IPS |
|
|
Object Detection (Q)
|
87% |
7752
622.2 IPS |
|
|
Face Detection (SP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
12960
154.0 IPS |
|
|
Face Detection (Q)
|
100% |
20727
246.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3962
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16750
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30816
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9629
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45582
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81959
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12123
447.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21428
793.5 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.7 IPS |
|
|
Text Classification (HP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1852
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2685
46.3 IPS |
