Microsoft Surface Pro 9 Microsoft Corporation Surface Pro 9
Geekbench AI Score
2189
Single Precision Score
865
Half Precision Score
3664
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 11:08 AM |
| Views | 45 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| 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% |
1787
332.3 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
99% |
2830
527.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1884
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3314
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
10589
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
3003
241.3 IPS |
|
|
Face Detection (SP)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
5146
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4842
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1159
8.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
8215
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7294
9.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4362
5.61 IPS |
|
|
Style Transfer (Q)
|
98% |
13179
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
500
666.7 IPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
65% |
1634
32.8 IPS |
