Microsoft Corporation Surface Laptop 4
Geekbench AI Score
2726
Single Precision Score
2758
Half Precision Score
1657
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 23 2024 08:29 PM |
| Views | 10 |
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% |
1130
210.1 IPS |
|
|
Image Classification (HP)
|
100% |
1171
217.8 IPS |
|
|
Image Classification (Q)
|
99% |
908
169.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11463
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12356
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5835
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
98% |
1232
98.0 IPS |
|
|
Object Detection (Q)
|
89% |
1064
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
1729
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5509
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6204
48.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
3893
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23848
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31108
40.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14798
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4462
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1434
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
702
937.1 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.9 IPS |
|
|
Text Classification (Q)
|
97% |
417
558.6 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
364
8.11 IPS |
