Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2188
Single Precision Score
2180
Half Precision Score
5692
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 10:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1176
218.8 IPS |
|
|
Image Classification (HP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (Q)
|
100% |
3642
677.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3350
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
12406
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (HP)
|
100% |
1081
85.8 IPS |
|
|
Object Detection (Q)
|
88% |
3307
265.1 IPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
7960
94.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3596
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4070
31.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9766
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10126
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9975
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34034
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6229
230.7 IPS |
|
|
Text Classification (SP)
|
100% |
596
796.2 IPS |
|
|
Text Classification (HP)
|
100% |
633
845.0 IPS |
|
|
Text Classification (Q)
|
92% |
2566
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1576
27.1 IPS |
