Microsoft Corporation Surface Laptop 3
Geekbench AI Score
1382
Single Precision Score
693
Half Precision Score
2874
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 3 |
| Motherboard | Microsoft Corporation Surface Laptop 3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G7 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
99% |
2056
383.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1567
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1719
2.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
7492
8.78 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
86% |
2526
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
813
9.66 IPS |
|
|
Face Detection (Q)
|
97% |
4224
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2908
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
5917
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4969
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3908
5.02 IPS |
|
|
Style Transfer (Q)
|
98% |
10547
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1996
73.9 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
436
582.1 IPS |
|
|
Text Classification (Q)
|
97% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.11 IPS |
|
|
Machine Translation (Q)
|
65% |
1391
27.9 IPS |
