Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2328
Single Precision Score
8086
Half Precision Score
12165
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 01:16 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
5834
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7772
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3141
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3491
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
29467
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63462
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
100% |
4921
390.3 IPS |
|
|
Object Detection (Q)
|
87% |
7694
617.5 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
12750
151.5 IPS |
|
|
Face Detection (Q)
|
100% |
21019
249.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4117
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16712
128.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30666
238.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10245
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45457
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82093
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12133
448.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21550
798.1 IPS |
|
|
Text Classification (SP)
|
100% |
649
865.6 IPS |
|
|
Text Classification (HP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1882
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2775
47.8 IPS |
