Microsoft Corporation Surface Pro 9
Geekbench AI Score
2124
Single Precision Score
2137
Half Precision Score
4285
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 03:27 PM |
| Views | 30 |
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% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
1180
219.4 IPS |
|
|
Image Classification (Q)
|
100% |
2309
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2877
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3233
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3249
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
8170
9.57 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (Q)
|
88% |
2454
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (Q)
|
100% |
6508
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3888
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3849
29.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
7512
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9371
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9330
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25908
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3811
141.1 IPS |
|
|
Text Classification (SP)
|
100% |
555
741.5 IPS |
|
|
Text Classification (HP)
|
100% |
626
835.3 IPS |
|
|
Text Classification (Q)
|
92% |
1770
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1835
31.6 IPS |
