Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2228
Single Precision Score
8080
Half Precision Score
12128
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 12:11 PM |
| Views | 4 |
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% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
5718
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7878
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3117
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
29461
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63617
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
100% |
4882
387.3 IPS |
|
|
Object Detection (Q)
|
87% |
7628
612.2 IPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
12832
152.5 IPS |
|
|
Face Detection (Q)
|
100% |
20695
245.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3854
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16906
130.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30820
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9480
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45689
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82040
105.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12206
450.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21591
799.6 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.8 IPS |
|
|
Text Classification (HP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1829
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2797
48.2 IPS |
