Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2205
Single Precision Score
7542
Half Precision Score
10854
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 06:32 PM |
| Views | 4 |
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% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
4977
925.5 IPS |
|
|
Image Classification (Q)
|
100% |
5800
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2963
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3456
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29202
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
61447
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (HP)
|
100% |
4283
339.7 IPS |
|
|
Object Detection (Q)
|
87% |
6549
525.6 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
12326
146.5 IPS |
|
|
Face Detection (Q)
|
100% |
18450
219.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3964
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16319
125.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
27880
216.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10077
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44571
57.3 IPS |
|
|
Style Transfer (Q)
|
98% |
79919
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10805
399.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18230
675.1 IPS |
|
|
Text Classification (SP)
|
100% |
639
853.4 IPS |
|
|
Text Classification (HP)
|
100% |
1817
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1793
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2444
42.1 IPS |
