Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
3093
Single Precision Score
23275
Half Precision Score
35438
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | parkpc |
| Upload Date | April 01 2025 12:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1823
338.9 IPS |
|
|
Image Classification (HP)
|
100% |
11635
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
16216
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16585
268.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32768
531.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
105312
122.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
207304
242.8 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
15985
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
22386
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
31024
368.6 IPS |
|
|
Face Detection (Q)
|
100% |
67882
806.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4587
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68702
529.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
111436
867.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9749
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207595
266.9 IPS |
|
|
Style Transfer (Q)
|
98% |
310782
400.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31859
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57086
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
2394
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3944
67.9 IPS |
