Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2271
Single Precision Score
8120
Half Precision Score
12192
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 02:07 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
5817
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8034
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
29369
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63051
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
4889
387.8 IPS |
|
|
Object Detection (Q)
|
87% |
7784
624.7 IPS |
|
|
Face Detection (SP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
13113
155.8 IPS |
|
|
Face Detection (Q)
|
100% |
21058
250.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4071
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16922
130.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30854
240.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10160
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45742
58.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81634
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12191
450.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21616
800.5 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.9 IPS |
|
|
Text Classification (HP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1877
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2755
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2769
47.7 IPS |
