Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2167
Single Precision Score
7884
Half Precision Score
12098
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 05 2024 02:16 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% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
5777
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8001
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3239
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
29410
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63088
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.1 IPS |
|
|
Object Detection (HP)
|
100% |
4350
345.1 IPS |
|
|
Object Detection (Q)
|
87% |
7686
616.9 IPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
12895
153.2 IPS |
|
|
Face Detection (Q)
|
100% |
20605
244.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3353
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16534
127.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30959
240.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9864
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45439
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81890
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12193
450.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21532
797.4 IPS |
|
|
Text Classification (SP)
|
100% |
598
797.6 IPS |
|
|
Text Classification (HP)
|
100% |
1727
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1899
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2620
45.1 IPS |
