Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2191
Single Precision Score
8068
Half Precision Score
12213
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 16 2025 02:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
5835
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7861
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3127
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
29513
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63895
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.2 IPS |
|
|
Object Detection (HP)
|
100% |
4908
389.3 IPS |
|
|
Object Detection (Q)
|
87% |
7723
619.9 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
12931
153.7 IPS |
|
|
Face Detection (Q)
|
100% |
21075
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3910
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16763
129.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30815
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9674
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45839
58.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81680
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12143
448.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21657
802.0 IPS |
|
|
Text Classification (SP)
|
100% |
683
911.6 IPS |
|
|
Text Classification (HP)
|
100% |
1815
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1890
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2804
48.3 IPS |
