Microsoft Corporation Surface Laptop 3
Geekbench AI Score
657
Single Precision Score
319
Half Precision Score
1611
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 02 2025 07:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 3 |
| Motherboard | Microsoft Corporation Surface Laptop 3 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
712
132.5 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
99% |
1661
309.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
2064
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1221
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
4939
5.79 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
86% |
1755
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (Q)
|
97% |
1356
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
746
5.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
313
2.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
1893
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1492
1.92 IPS |
|
|
Style Transfer (HP)
|
100% |
1178
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3571
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1383
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
584
779.9 IPS |
|
|
Text Classification (HP)
|
100% |
352
469.7 IPS |
|
|
Text Classification (Q)
|
97% |
265
355.3 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1181
23.7 IPS |
