Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2041
Single Precision Score
12153
Half Precision Score
21769
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 25 2024 07:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
6338
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
12988
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7489
121.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8147
132.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6042
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
60890
71.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204806
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (HP)
|
100% |
8311
659.3 IPS |
|
|
Object Detection (Q)
|
92% |
11339
905.1 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
15847
188.3 IPS |
|
|
Face Detection (Q)
|
97% |
40024
477.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2484
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37498
288.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
84843
680.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15425
19.8 IPS |
|
|
Style Transfer (HP)
|
98% |
56668
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
201893
260.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25523
942.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38117
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (Q)
|
95% |
2403
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (Q)
|
67% |
1549
30.1 IPS |
