Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2056
Single Precision Score
3142
Half Precision Score
6477
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 25 2024 05:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.8 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (Q)
|
99% |
5738
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3325
53.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1929
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6850
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10037
11.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
24562
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
99% |
2539
202.0 IPS |
|
|
Object Detection (Q)
|
86% |
6662
535.4 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
6745
80.1 IPS |
|
|
Face Detection (Q)
|
97% |
11680
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2492
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3789
29.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
11547
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15125
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11162
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36788
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2314
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3887
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
642
857.3 IPS |
|
|
Text Classification (Q)
|
97% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2672
46.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3009
60.5 IPS |
