Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
2005
Single Precision Score
12662
Half Precision Score
22308
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 25 2024 07:14 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% |
9153
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
13810
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6016
97.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8532
138.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5796
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
63784
74.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
214708
251.7 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.4 IPS |
|
|
Object Detection (HP)
|
100% |
8757
694.6 IPS |
|
|
Object Detection (Q)
|
92% |
8973
716.2 IPS |
|
|
Face Detection (SP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
21285
252.9 IPS |
|
|
Face Detection (Q)
|
97% |
36321
433.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2406
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38661
297.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
93748
752.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14928
19.2 IPS |
|
|
Style Transfer (HP)
|
98% |
52231
67.4 IPS |
|
|
Style Transfer (Q)
|
98% |
197191
254.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26082
963.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35771
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (Q)
|
95% |
2420
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (Q)
|
67% |
2314
45.0 IPS |
