Microsoft Corporation Surface Laptop 4
Geekbench AI Score
2824
Single Precision Score
2810
Half Precision Score
1683
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FSSNAG |
| Upload Date | October 24 2024 05:08 AM |
| Views | 9 |
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% |
1153
214.5 IPS |
|
|
Image Classification (HP)
|
100% |
1180
219.5 IPS |
|
|
Image Classification (Q)
|
99% |
923
172.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1306
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11490
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12330
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5835
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
98% |
1244
99.0 IPS |
|
|
Object Detection (Q)
|
89% |
1072
85.8 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (Q)
|
97% |
1754
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6393
49.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
3907
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24996
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32514
41.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15664
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4525
167.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1433
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
332
442.8 IPS |
|
|
Text Classification (Q)
|
97% |
434
580.7 IPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
363
8.09 IPS |
