Microsoft Corporation Surface Pro 9
Geekbench AI Score
1895
Single Precision Score
1904
Half Precision Score
4063
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1062
197.6 IPS |
|
|
Image Classification (HP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (Q)
|
100% |
2160
401.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2701
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2765
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
8294
9.72 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (Q)
|
88% |
2279
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
6176
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3318
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3185
24.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
6813
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8034
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8114
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23163
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3630
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
601
802.5 IPS |
|
|
Text Classification (HP)
|
100% |
584
779.3 IPS |
|
|
Text Classification (Q)
|
92% |
1809
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1743
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1741
30.0 IPS |
