Microsoft Corporation Surface Pro 9
Geekbench AI Score
2099
Single Precision Score
2124
Half Precision Score
4270
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:29 AM |
| Views | 3 |
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% |
1122
208.7 IPS |
|
|
Image Classification (HP)
|
100% |
1135
211.0 IPS |
|
|
Image Classification (Q)
|
100% |
2218
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2661
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
9258
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1222
97.0 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (Q)
|
88% |
2253
180.6 IPS |
|
|
Face Detection (SP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
6357
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3759
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3779
29.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
7287
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9417
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9363
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25841
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3999
148.1 IPS |
|
|
Text Classification (SP)
|
100% |
599
800.0 IPS |
|
|
Text Classification (HP)
|
100% |
583
777.9 IPS |
|
|
Text Classification (Q)
|
92% |
1904
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1798
31.0 IPS |
