Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1909
Single Precision Score
7611
Half Precision Score
11249
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 28 2024 01:05 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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
5427
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7354
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2903
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
29296
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63515
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
4572
362.6 IPS |
|
|
Object Detection (Q)
|
87% |
7005
562.2 IPS |
|
|
Face Detection (SP)
|
100% |
3312
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
11440
135.9 IPS |
|
|
Face Detection (Q)
|
100% |
17084
203.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3219
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16161
124.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
29702
231.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7891
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45456
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78219
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11840
437.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20231
749.2 IPS |
|
|
Text Classification (SP)
|
100% |
552
736.5 IPS |
|
|
Text Classification (HP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1837
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2316
39.9 IPS |
