Microsoft Corporation Surface Laptop Studio
Geekbench AI Score
1469
Single Precision Score
758
Half Precision Score
3300
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | linne |
| Upload Date | January 14 2025 11:11 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11370H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio |
| Motherboard | Microsoft Corporation Surface Laptop Studio |
| Power Plan | Balanced |
| 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% |
975
181.3 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.3 IPS |
|
|
Image Classification (Q)
|
99% |
2850
531.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1785
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
7623
8.94 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
2895
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
2187
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
4725
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2944
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1068
8.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
6975
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4987
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3812
4.90 IPS |
|
|
Style Transfer (Q)
|
98% |
10805
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2264
83.8 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
535
713.6 IPS |
|
|
Text Classification (Q)
|
97% |
1096
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.50 IPS |
|
|
Machine Translation (Q)
|
65% |
1545
31.0 IPS |
