Microsoft Corporation Surface Laptop 4
Geekbench AI Score
2742
Single Precision Score
2771
Half Precision Score
1684
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 10:09 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 4 |
| Motherboard | Microsoft Corporation Surface Laptop 4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.2 IPS |
|
|
Image Classification (HP)
|
100% |
1162
216.1 IPS |
|
|
Image Classification (Q)
|
99% |
908
169.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1289
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11495
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12381
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5823
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
98% |
1234
98.2 IPS |
|
|
Object Detection (Q)
|
89% |
1099
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
1746
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6450
49.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
3919
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24829
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30574
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15771
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3354
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4483
165.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1435
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
689
919.3 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.1 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.8 IPS |
|
|
Machine Translation (SP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
60% |
383
8.54 IPS |
