Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2182
Single Precision Score
7256
Half Precision Score
10628
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 09 2024 05:56 AM |
| 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% |
1235
229.7 IPS |
|
|
Image Classification (HP)
|
100% |
4091
760.8 IPS |
|
|
Image Classification (Q)
|
100% |
5473
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2903
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
29093
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
61614
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1193
94.6 IPS |
|
|
Object Detection (HP)
|
100% |
4140
328.4 IPS |
|
|
Object Detection (Q)
|
87% |
6152
493.7 IPS |
|
|
Face Detection (SP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
12105
143.8 IPS |
|
|
Face Detection (Q)
|
100% |
18939
225.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3899
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15831
122.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
28132
218.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9834
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
44459
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80377
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10933
403.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17763
657.8 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.0 IPS |
|
|
Text Classification (HP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1719
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2335
40.2 IPS |
