Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
9616
Single Precision Score
25972
Half Precision Score
28951
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | parkpc |
| Upload Date | April 01 2025 01:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7442
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
15817
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
18350
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7699
124.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14781
239.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16612
269.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23555
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
133429
155.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
252034
295.1 IPS |
|
|
Object Detection (SP)
|
100% |
6350
503.7 IPS |
|
|
Object Detection (HP)
|
100% |
16260
1.29 KIPS |
|
|
Object Detection (Q)
|
88% |
16609
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
13800
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
29926
355.6 IPS |
|
|
Face Detection (Q)
|
100% |
37133
441.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23745
182.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62242
479.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
71257
554.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54474
70.0 IPS |
|
|
Style Transfer (HP)
|
100% |
158384
203.6 IPS |
|
|
Style Transfer (Q)
|
98% |
184266
237.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9555
352.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31022
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33284
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5133
6.85 KIPS |
|
|
Text Classification (Q)
|
92% |
3340
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5862
101.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5981
103.0 IPS |
