Microsoft Corporation Surface Pro 6
Geekbench AI Score
786
Single Precision Score
382
Half Precision Score
961
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jhkabkabi |
| Upload Date | April 10 2025 03:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 6 |
| Motherboard | Microsoft Corporation Surface Pro 6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
96% |
743
138.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
444
7.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
833
0.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
2029
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
58% |
575
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (Q)
|
96% |
1811
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1340
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
2103
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2701
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1971
2.53 IPS |
|
|
Style Transfer (Q)
|
87% |
3986
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
778
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (HP)
|
100% |
255
340.9 IPS |
|
|
Text Classification (Q)
|
97% |
176
236.0 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (Q)
|
68% |
842
16.3 IPS |
