Microsoft Corporation Surface Laptop Go 2
Geekbench AI Score
1352
Single Precision Score
666
Half Precision Score
2562
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 10 2024 10:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop Go 2 |
| Motherboard | Microsoft Corporation Surface Laptop Go 2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
983
182.8 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
99% |
2003
373.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1855
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1607
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1251
1.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
6602
7.74 IPS |
|
|
Object Detection (SP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
88% |
1152
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (Q)
|
97% |
2924
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2430
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.55 IPS |
|
|
Depth Estimation (Q)
|
77% |
4320
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4516
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3265
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
10243
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2142
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.1 IPS |
|
|
Text Classification (Q)
|
97% |
1184
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (Q)
|
60% |
1318
29.4 IPS |
