Microsoft Corporation Surface Laptop
Geekbench AI Score
830
Single Precision Score
461
Half Precision Score
934
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Critster |
| Upload Date | January 29 2025 09:29 PM |
| Views | 5 |
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% |
381
70.9 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
96% |
511
95.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
888
1.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
1755
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
58% |
532
58.2 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
608
7.22 IPS |
|
|
Face Detection (Q)
|
96% |
1830
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1509
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
716
5.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
1914
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2985
3.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2161
2.78 IPS |
|
|
Style Transfer (Q)
|
87% |
3856
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
638
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
837
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
549
733.0 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.6 IPS |
|
|
Text Classification (Q)
|
97% |
256
342.6 IPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
68% |
875
16.9 IPS |
