Microsoft Corporation Surface Laptop Studio
Geekbench AI Score
5511
Single Precision Score
10526
Half Precision Score
3952
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | hrichl |
| Upload Date | April 25 2025 11:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio |
| Motherboard | Microsoft Corporation Surface Laptop Studio |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (HP)
|
99% |
4735
883.1 IPS |
|
|
Image Classification (Q)
|
100% |
2019
375.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3621
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5081
82.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3022
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17056
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
81660
95.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
15843
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
5703
452.4 IPS |
|
|
Object Detection (Q)
|
89% |
2193
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
5698
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
9722
115.5 IPS |
|
|
Face Detection (Q)
|
97% |
4300
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14001
107.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30948
239.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
9616
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38827
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
106797
137.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32963
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8883
328.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17449
644.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6064
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.11 KIPS |
|
|
Text Classification (HP)
|
99% |
1994
2.66 KIPS |
|
|
Text Classification (Q)
|
97% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (Q)
|
60% |
618
13.8 IPS |
