Microsoft Corporation Surface Laptop
Geekbench AI Score
823
Single Precision Score
465
Half Precision Score
945
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Critster |
| Upload Date | January 29 2025 09:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7660U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop |
| Motherboard | Microsoft Corporation Surface Laptop |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7660U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
96% |
816
152.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
545
8.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
1163
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
969
1.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
1816
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (Q)
|
58% |
499
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (Q)
|
96% |
1751
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1527
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
710
5.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
2072
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2985
3.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2034
2.61 IPS |
|
|
Style Transfer (Q)
|
87% |
3555
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.8 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.6 IPS |
|
|
Text Classification (Q)
|
97% |
200
268.3 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (Q)
|
68% |
877
16.9 IPS |
