Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
3087
Single Precision Score
2107
Half Precision Score
8101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | parkpc |
| Upload Date | April 01 2025 01:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| 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% |
1847
343.4 IPS |
|
|
Image Classification (HP)
|
100% |
1306
243.0 IPS |
|
|
Image Classification (Q)
|
100% |
5111
950.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5019
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3310
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
12671
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (Q)
|
88% |
5358
429.5 IPS |
|
|
Face Detection (SP)
|
100% |
5466
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
13111
155.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4539
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3090
23.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13636
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9756
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6374
8.19 IPS |
|
|
Style Transfer (Q)
|
98% |
35968
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7272
269.3 IPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
4330
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3454
59.5 IPS |
