Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2146
Single Precision Score
9838
Half Precision Score
18616
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 12:57 PM |
| Views | 3 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
10399
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
10423
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7371
119.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7800
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6608
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
67469
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231271
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
100% |
8763
695.1 IPS |
|
|
Object Detection (Q)
|
82% |
12135
982.3 IPS |
|
|
Face Detection (SP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
16196
192.4 IPS |
|
|
Face Detection (Q)
|
97% |
41905
499.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2587
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40574
312.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
79143
643.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15964
20.5 IPS |
|
|
Style Transfer (HP)
|
23% |
2679
92.2 IPS |
|
|
Style Transfer (Q)
|
98% |
177657
229.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2366
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27106
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40506
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
1620
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (Q)
|
95% |
2826
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2578
44.4 IPS |
|
|
Machine Translation (Q)
|
37% |
325
31.6 IPS |
