Microsoft Corporation Surface Pro 6
Geekbench AI Score
1016
Single Precision Score
516
Half Precision Score
1496
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 09:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8650U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 6 |
| Motherboard | Microsoft Corporation Surface Pro 6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
784
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (Q)
|
96% |
1170
218.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
1414
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1581
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1239
1.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
2522
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
58% |
697
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (Q)
|
96% |
2198
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1715
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
693
5.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
2657
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3576
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2539
3.26 IPS |
|
|
Style Transfer (Q)
|
87% |
4897
6.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1196
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
593
790.9 IPS |
|
|
Text Classification (HP)
|
100% |
339
451.9 IPS |
|
|
Text Classification (Q)
|
97% |
544
728.5 IPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
68% |
1042
20.1 IPS |
