Microsoft Corporation Surface Laptop Go 3
Geekbench AI Score
1433
Single Precision Score
631
Half Precision Score
2315
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 11:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop Go 3 |
| Motherboard | Microsoft Corporation Surface Laptop Go 3 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
865
160.8 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
99% |
1603
299.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1654
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
7316
8.57 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
88% |
905
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.30 IPS |
|
|
Face Detection (Q)
|
97% |
2392
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2816
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
938
7.23 IPS |
|
|
Depth Estimation (Q)
|
77% |
4015
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6089
7.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3961
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
10680
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2007
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
318
425.0 IPS |
|
|
Text Classification (Q)
|
97% |
1123
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1093
24.4 IPS |
