Microsoft Corporation Surface Laptop Go 2
Geekbench AI Score
2230
Single Precision Score
2309
Half Precision Score
1347
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 10 2024 10:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
909
169.0 IPS |
|
|
Image Classification (HP)
|
100% |
968
180.1 IPS |
|
|
Image Classification (Q)
|
99% |
743
138.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9341
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10674
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
4899
5.74 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
98% |
952
75.8 IPS |
|
|
Object Detection (Q)
|
89% |
845
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
1447
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5055
39.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
3245
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19478
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25909
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11550
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1046
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.2 IPS |
|
|
Text Classification (HP)
|
100% |
328
438.2 IPS |
|
|
Text Classification (Q)
|
97% |
380
509.5 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
290
6.46 IPS |
