Microsoft Corporation Surface Pro 9
Geekbench AI Score
980
Single Precision Score
379
Half Precision Score
1688
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kkAL-sulami |
| Upload Date | April 11 2025 05:20 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% |
584
108.6 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.0 IPS |
|
|
Image Classification (Q)
|
99% |
968
180.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
661
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1312
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
3686
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
86% |
1083
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (Q)
|
97% |
1840
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1748
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
412
3.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
2849
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3214
4.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1983
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
4945
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2010
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.0 IPS |
|
|
Text Classification (HP)
|
100% |
323
431.1 IPS |
|
|
Text Classification (Q)
|
97% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (Q)
|
65% |
1640
33.0 IPS |
