Microsoft Corporation Surface Pro 9
Geekbench AI Score
2118
Single Precision Score
2139
Half Precision Score
4329
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 08:54 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% |
1204
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2850
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3227
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
9347
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (Q)
|
88% |
2380
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (Q)
|
100% |
6643
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3866
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3886
29.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7464
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9374
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9482
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25797
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.2 IPS |
|
|
Text Classification (HP)
|
100% |
624
833.3 IPS |
|
|
Text Classification (Q)
|
92% |
1855
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1830
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1818
31.3 IPS |
