Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2069
Single Precision Score
7554
Half Precision Score
11207
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 12:52 PM |
| Views | 3 |
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% |
950
176.6 IPS |
|
|
Image Classification (HP)
|
100% |
5409
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7584
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3209
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
29421
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62771
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1134
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
4534
359.6 IPS |
|
|
Object Detection (Q)
|
87% |
6737
540.7 IPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
10912
129.7 IPS |
|
|
Face Detection (Q)
|
100% |
17030
202.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3699
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16720
128.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29942
233.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10250
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45706
58.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81274
104.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12025
444.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20321
752.6 IPS |
|
|
Text Classification (SP)
|
100% |
645
860.9 IPS |
|
|
Text Classification (HP)
|
100% |
1751
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1757
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2139
36.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2146
37.0 IPS |
