Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
2083
Single Precision Score
14858
Half Precision Score
20743
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiwu |
| Upload Date | February 22 2025 11:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1101
204.7 IPS |
|
|
Image Classification (HP)
|
100% |
9621
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
12733
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4636
75.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5125
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2460
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
70320
82.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
158295
185.4 IPS |
|
|
Object Detection (SP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (HP)
|
100% |
10840
859.8 IPS |
|
|
Object Detection (Q)
|
87% |
14065
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
20329
241.6 IPS |
|
|
Face Detection (Q)
|
100% |
31412
373.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3136
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54329
418.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
81471
634.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7372
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
170963
219.8 IPS |
|
|
Style Transfer (Q)
|
98% |
240282
309.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22893
845.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38067
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2028
34.9 IPS |
