Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2272
Single Precision Score
8069
Half Precision Score
12066
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 09:18 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% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
5701
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7732
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3157
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
29529
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63102
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
4906
389.1 IPS |
|
|
Object Detection (Q)
|
87% |
7433
596.6 IPS |
|
|
Face Detection (SP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
12842
152.6 IPS |
|
|
Face Detection (Q)
|
100% |
20930
248.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3906
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16789
129.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30618
238.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10100
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45910
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
81851
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12228
451.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21403
792.6 IPS |
|
|
Text Classification (SP)
|
100% |
627
837.4 IPS |
|
|
Text Classification (HP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1846
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2757
47.5 IPS |
