Microsoft Corporation Surface Pro 9
Geekbench AI Score
1544
Single Precision Score
1424
Half Precision Score
2633
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 03:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1245U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1245U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
100% |
1219
226.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2051
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2285
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1505
1.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
5238
6.14 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
844
66.9 IPS |
|
|
Object Detection (Q)
|
88% |
1555
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (Q)
|
100% |
4459
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2353
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2467
19.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
3907
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4724
6.07 IPS |
|
|
Style Transfer (HP)
|
100% |
5317
6.83 IPS |
|
|
Style Transfer (Q)
|
98% |
14253
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2143
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
1664
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
100% |
890
15.3 IPS |
