Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2248
Single Precision Score
8004
Half Precision Score
12069
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 09:49 AM |
| 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% |
1298
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
5730
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7961
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
29238
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
63278
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
4912
389.6 IPS |
|
|
Object Detection (Q)
|
87% |
7606
610.4 IPS |
|
|
Face Detection (SP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
12904
153.3 IPS |
|
|
Face Detection (Q)
|
100% |
20715
246.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4054
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16460
126.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30774
239.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10032
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45568
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82484
106.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12005
443.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21311
789.2 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.5 IPS |
|
|
Text Classification (HP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1846
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2690
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2710
46.7 IPS |
