Microsoft Corporation Surface Pro 9
Geekbench AI Score
1852
Single Precision Score
745
Half Precision Score
3552
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Pachnes |
| Upload Date | September 05 2025 06:05 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | Ausbalanciert |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
2788
520.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
3859
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1736
2.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
7707
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.8 IPS |
|
|
Object Detection (Q)
|
86% |
2666
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4637
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3823
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
6917
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6837
8.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4145
5.33 IPS |
|
|
Style Transfer (Q)
|
98% |
10946
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2389
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
383
511.7 IPS |
|
|
Text Classification (Q)
|
97% |
1014
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1705
34.3 IPS |
