Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
1708
Single Precision Score
840
Half Precision Score
3453
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
4002
746.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1517
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
6795
7.97 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
86% |
2130
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
2780
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
4323
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2738
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1153
8.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
7736
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5174
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
4034
5.19 IPS |
|
|
Style Transfer (Q)
|
98% |
10553
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2709
100.3 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.5 IPS |
|
|
Text Classification (Q)
|
97% |
1429
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
65% |
2008
40.3 IPS |
