Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2051
Single Precision Score
3267
Half Precision Score
6591
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 18 2025 01:18 PM |
| Views | 4 |
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 | Bilanciato |
| 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% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
3431
638.0 IPS |
|
|
Image Classification (Q)
|
99% |
7134
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3393
55.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2485
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6594
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
6395
7.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
22257
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (HP)
|
99% |
2512
199.8 IPS |
|
|
Object Detection (Q)
|
86% |
6658
535.1 IPS |
|
|
Face Detection (SP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
7326
87.0 IPS |
|
|
Face Detection (Q)
|
97% |
11611
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2306
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3578
27.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
11426
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13618
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10941
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35337
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3317
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.2 IPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2203
37.9 IPS |
|
|
Machine Translation (HP)
|
99% |
2860
49.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3321
66.7 IPS |
