Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1543
Single Precision Score
7924
Half Precision Score
11847
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 14 2025 02:16 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% |
842
156.5 IPS |
|
|
Image Classification (HP)
|
100% |
5748
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7872
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3162
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
29654
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
63897
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
100% |
4888
387.7 IPS |
|
|
Object Detection (Q)
|
87% |
7635
612.7 IPS |
|
|
Face Detection (SP)
|
100% |
3657
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
13120
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
20452
243.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2224
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17013
131.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
31264
243.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5073
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
45900
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82240
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12077
445.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20995
777.5 IPS |
|
|
Text Classification (SP)
|
100% |
630
840.3 IPS |
|
|
Text Classification (HP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1828
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2224
38.3 IPS |
