Microsoft Corporation Surface Pro 9
Geekbench AI Score
1347
Single Precision Score
552
Half Precision Score
2129
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:10 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% |
1079
200.7 IPS |
|
|
Image Classification (HP)
|
100% |
215
39.9 IPS |
|
|
Image Classification (Q)
|
99% |
1753
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1310
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1348
1.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
6517
7.64 IPS |
|
|
Object Detection (SP)
|
100% |
1056
83.8 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
86% |
1849
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
612
7.28 IPS |
|
|
Face Detection (Q)
|
97% |
3274
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2953
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
787
6.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
4919
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
3446
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
8087
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1478
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.4 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.4 IPS |
|
|
Text Classification (Q)
|
97% |
749
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
65% |
481
9.67 IPS |
