Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2275
Single Precision Score
8072
Half Precision Score
12078
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:13 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
5641
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7860
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
29456
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
62624
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
4825
382.7 IPS |
|
|
Object Detection (Q)
|
87% |
7566
607.2 IPS |
|
|
Face Detection (SP)
|
100% |
3960
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
13108
155.8 IPS |
|
|
Face Detection (Q)
|
100% |
21150
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4008
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16644
128.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30823
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10079
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45342
58.3 IPS |
|
|
Style Transfer (Q)
|
98% |
81009
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12132
448.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21418
793.2 IPS |
|
|
Text Classification (SP)
|
100% |
635
847.7 IPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1831
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2765
47.6 IPS |
