Microsoft Corporation Surface Laptop 4
Geekbench AI Score
2766
Single Precision Score
2784
Half Precision Score
1682
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 08:14 PM |
| Views | 6 |
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% |
1131
210.3 IPS |
|
|
Image Classification (HP)
|
100% |
1172
218.0 IPS |
|
|
Image Classification (Q)
|
99% |
914
170.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1313
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11578
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12391
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5837
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
98% |
1244
99.0 IPS |
|
|
Object Detection (Q)
|
89% |
1069
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
2626
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5748
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6379
49.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
3923
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24638
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32071
41.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15773
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3320
122.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1422
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.2 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.3 IPS |
|
|
Text Classification (Q)
|
97% |
426
570.7 IPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
364
8.11 IPS |
