Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2179
Single Precision Score
11075
Half Precision Score
21831
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 02:14 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% |
725
134.9 IPS |
|
|
Image Classification (HP)
|
100% |
10953
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17314
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7609
123.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9385
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
70349
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
237076
277.9 IPS |
|
|
Object Detection (SP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
11110
881.3 IPS |
|
|
Object Detection (Q)
|
82% |
16378
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
23168
275.3 IPS |
|
|
Face Detection (Q)
|
97% |
47049
561.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2599
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41683
321.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
82269
668.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17153
22.0 IPS |
|
|
Style Transfer (HP)
|
23% |
2773
95.5 IPS |
|
|
Style Transfer (Q)
|
98% |
180026
232.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28306
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40756
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (Q)
|
95% |
3519
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2203
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (Q)
|
37% |
390
38.0 IPS |
