Microsoft Corporation Surface Pro 9
Geekbench AI Score
1594
Single Precision Score
650
Half Precision Score
3249
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 03:06 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
2664
496.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
3694
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1738
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1227
1.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
6280
7.36 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.2 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
86% |
2505
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (Q)
|
97% |
4401
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3700
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
839
6.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
5983
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5106
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3204
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
10157
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2425
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
364
486.5 IPS |
|
|
Text Classification (Q)
|
97% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
65% |
1513
30.4 IPS |
