Microsoft Corporation Surface Pro 9
Geekbench AI Score
2092
Single Precision Score
2144
Half Precision Score
1379
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 03:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
1007
187.2 IPS |
|
|
Image Classification (Q)
|
100% |
806
149.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7751
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
8661
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
4235
4.96 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
98% |
897
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
900
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
1615
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4445
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4855
37.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3119
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18340
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22989
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11779
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3225
119.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1109
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.0 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.7 IPS |
|
|
Text Classification (Q)
|
97% |
314
420.0 IPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
70% |
379
7.10 IPS |
