Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2059
Single Precision Score
1439
Half Precision Score
5115
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 12:54 PM |
| 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 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| 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% |
739
137.4 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
99% |
3870
721.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1789
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
9522
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21896
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (HP)
|
99% |
593
47.1 IPS |
|
|
Object Detection (Q)
|
88% |
4166
333.9 IPS |
|
|
Face Detection (SP)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (Q)
|
97% |
6115
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2639
20.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
1847
14.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8876
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15057
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8342
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33987
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3753
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
400
534.5 IPS |
|
|
Text Classification (Q)
|
97% |
1101
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2550
56.9 IPS |
