Microsoft Corporation Surface Pro 9
Geekbench AI Score
2001
Single Precision Score
798
Half Precision Score
3846
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | GreatDane |
| Upload Date | November 11 2025 06:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| 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 i5-1235U |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (Q)
|
99% |
2994
558.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
3991
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
8783
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
86% |
2774
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
5207
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4044
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
7557
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7411
9.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4520
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11863
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2897
107.3 IPS |
|
|
Text Classification (SP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
399
533.1 IPS |
|
|
Text Classification (Q)
|
97% |
1043
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
65% |
1725
34.7 IPS |
