Microsoft Corporation Surface Laptop 6 for Business
Geekbench AI Score
3137
Single Precision Score
1170
Half Precision Score
4597
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | linne |
| Upload Date | January 14 2025 10:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 6 for Business |
| Motherboard | Microsoft Corporation Surface Laptop 6 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2505
465.9 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (Q)
|
99% |
4904
914.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2402
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5231
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3433
4.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
18523
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (Q)
|
86% |
4619
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
6192
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
6477
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6669
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1532
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12372
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12382
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8360
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18513
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2206
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3244
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
1165
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
560
747.8 IPS |
|
|
Text Classification (Q)
|
97% |
403
540.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (Q)
|
65% |
2157
43.3 IPS |
