Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2275
Single Precision Score
8072
Half Precision Score
12071
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 03:29 PM |
| Views | 3 |
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% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
5629
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7712
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3450
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29288
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63241
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
100% |
4831
383.2 IPS |
|
|
Object Detection (Q)
|
87% |
7578
608.2 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
13373
158.9 IPS |
|
|
Face Detection (Q)
|
100% |
20934
248.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4098
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16757
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
31142
242.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9713
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
45918
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82142
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12181
449.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21221
785.9 IPS |
|
|
Text Classification (SP)
|
100% |
636
849.5 IPS |
|
|
Text Classification (HP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2815
48.5 IPS |
