Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2315
Single Precision Score
8112
Half Precision Score
12197
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 07:05 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
5916
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8025
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3484
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
29429
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63268
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
4858
385.3 IPS |
|
|
Object Detection (Q)
|
87% |
7769
623.5 IPS |
|
|
Face Detection (SP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
12979
154.2 IPS |
|
|
Face Detection (Q)
|
100% |
20838
247.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4079
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16828
129.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
31031
241.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10196
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46041
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82244
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1871
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12198
450.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21624
800.8 IPS |
|
|
Text Classification (SP)
|
100% |
645
861.3 IPS |
|
|
Text Classification (HP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1908
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2726
47.0 IPS |
