Microsoft Corporation Surface Laptop 4
Geekbench AI Score
2708
Single Precision Score
2705
Half Precision Score
1632
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 24 2024 12:38 AM |
| 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% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
1105
205.5 IPS |
|
|
Image Classification (Q)
|
99% |
860
160.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1255
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11457
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12234
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5770
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
98% |
1173
93.3 IPS |
|
|
Object Detection (Q)
|
89% |
1032
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
1748
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6133
47.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
3788
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24830
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32128
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15497
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3280
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1408
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.1 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.7 IPS |
|
|
Text Classification (Q)
|
97% |
406
543.2 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
60% |
357
7.97 IPS |
