Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2074
Single Precision Score
8990
Half Precision Score
17293
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 02:11 AM |
| 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% |
742
138.1 IPS |
|
|
Image Classification (HP)
|
100% |
8867
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
13283
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6355
103.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8397
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4615
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
66627
77.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
210908
247.2 IPS |
|
|
Object Detection (SP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (HP)
|
100% |
8205
650.8 IPS |
|
|
Object Detection (Q)
|
82% |
11003
890.7 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
16852
200.2 IPS |
|
|
Face Detection (Q)
|
97% |
30297
361.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2587
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36613
282.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
70057
569.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16896
21.7 IPS |
|
|
Style Transfer (HP)
|
23% |
2653
91.3 IPS |
|
|
Style Transfer (Q)
|
98% |
163293
210.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21909
809.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35709
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1607
2.15 KIPS |
|
|
Text Classification (Q)
|
95% |
2687
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (Q)
|
37% |
278
27.1 IPS |
