Microsoft Corporation Surface Pro 9
Geekbench AI Score
2127
Single Precision Score
2104
Half Precision Score
4243
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 05:10 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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
1190
221.3 IPS |
|
|
Image Classification (Q)
|
100% |
2329
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2863
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3257
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
7508
8.79 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (Q)
|
88% |
2323
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (Q)
|
100% |
6489
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3898
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3848
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
7556
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9542
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9505
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26015
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4013
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.6 IPS |
|
|
Text Classification (HP)
|
100% |
607
809.8 IPS |
|
|
Text Classification (Q)
|
92% |
1774
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1795
30.9 IPS |
