Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2243
Single Precision Score
7908
Half Precision Score
11897
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 03:14 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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
5419
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7497
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3061
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
29475
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63384
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
4731
375.3 IPS |
|
|
Object Detection (Q)
|
87% |
7468
599.4 IPS |
|
|
Face Detection (SP)
|
100% |
3867
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
12287
146.0 IPS |
|
|
Face Detection (Q)
|
100% |
20723
246.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3508
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16758
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30605
238.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10176
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45792
58.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81498
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12012
443.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20864
772.7 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.2 IPS |
|
|
Text Classification (HP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1857
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2612
45.0 IPS |
