Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1790
Single Precision Score
9061
Half Precision Score
16898
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | nitzwalsh |
| Upload Date | September 30 2024 04:09 AM |
| Views | 4 |
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 Home (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% |
722
134.3 IPS |
|
|
Image Classification (HP)
|
100% |
7290
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
11411
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
6831
110.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7974
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
67190
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
207692
243.4 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
8240
653.6 IPS |
|
|
Object Detection (Q)
|
82% |
10921
884.0 IPS |
|
|
Face Detection (SP)
|
100% |
1866
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
19328
229.7 IPS |
|
|
Face Detection (Q)
|
97% |
39333
469.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2558
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37542
289.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
71174
578.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15966
20.5 IPS |
|
|
Style Transfer (HP)
|
23% |
2608
89.8 IPS |
|
|
Style Transfer (Q)
|
98% |
161607
208.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2212
81.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26218
968.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31206
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
95% |
2555
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (Q)
|
37% |
255
24.8 IPS |
