Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2292
Single Precision Score
8054
Half Precision Score
12117
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 10:48 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% |
1321
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
5797
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7920
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3084
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
29477
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63543
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
4895
388.3 IPS |
|
|
Object Detection (Q)
|
87% |
7655
614.4 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
12891
153.2 IPS |
|
|
Face Detection (Q)
|
100% |
21200
251.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4074
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16779
129.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30591
238.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10148
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45900
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82763
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12170
449.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21814
807.9 IPS |
|
|
Text Classification (SP)
|
100% |
633
845.0 IPS |
|
|
Text Classification (HP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1824
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2690
46.3 IPS |
