Microsoft Corporation Surface Pro 9
Geekbench AI Score
1222
Single Precision Score
502
Half Precision Score
2313
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Nghayward |
| Upload Date | November 26 2025 11:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | Balanced |
| 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% |
930
172.9 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
99% |
1748
325.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
2414
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1242
1.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
5689
6.67 IPS |
|
|
Object Detection (SP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
86% |
1744
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (Q)
|
97% |
3196
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2408
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
707
5.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
4517
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4795
6.16 IPS |
|
|
Style Transfer (HP)
|
100% |
2958
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
7351
9.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1546
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
582
777.1 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.9 IPS |
|
|
Text Classification (Q)
|
97% |
637
853.8 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
65% |
1005
20.2 IPS |
