Microsoft Corporation Surface Pro 9
Geekbench AI Score
1357
Single Precision Score
552
Half Precision Score
2296
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:56 PM |
| Views | 2 |
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 | Ausbalanciert |
| 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% |
1028
191.2 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
99% |
1842
343.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1215
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1261
1.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
6268
7.35 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
86% |
1851
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (Q)
|
97% |
3369
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2969
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
821
6.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
4989
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5420
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3481
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
8228
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1502
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
652
870.1 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.3 IPS |
|
|
Text Classification (Q)
|
97% |
726
972.8 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.83 IPS |
|
|
Machine Translation (Q)
|
65% |
1042
20.9 IPS |
