Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2049
Single Precision Score
7638
Half Precision Score
11135
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 01:11 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% |
1317
244.9 IPS |
|
|
Image Classification (HP)
|
100% |
5381
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
6998
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2873
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
28825
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
61206
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (HP)
|
100% |
4576
362.9 IPS |
|
|
Object Detection (Q)
|
87% |
6722
539.5 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
11638
138.3 IPS |
|
|
Face Detection (Q)
|
100% |
17068
202.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3806
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16692
128.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30557
237.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9379
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45458
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
83623
107.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12104
447.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20611
763.3 IPS |
|
|
Text Classification (SP)
|
100% |
499
665.6 IPS |
|
|
Text Classification (HP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1710
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2306
39.7 IPS |
