Microsoft Corporation Surface Pro 9
Geekbench AI Score
2135
Single Precision Score
2125
Half Precision Score
4276
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 10:22 PM |
| Views | 14 |
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% |
1069
198.9 IPS |
|
|
Image Classification (HP)
|
100% |
1202
223.6 IPS |
|
|
Image Classification (Q)
|
100% |
2307
429.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2843
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3029
3.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
9241
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (Q)
|
88% |
2356
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
6485
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3888
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3746
28.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6909
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9495
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9194
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24569
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3809
141.1 IPS |
|
|
Text Classification (SP)
|
100% |
635
847.3 IPS |
|
|
Text Classification (HP)
|
100% |
619
825.6 IPS |
|
|
Text Classification (Q)
|
92% |
2011
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1700
29.3 IPS |
