Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
946
Single Precision Score
1627
Half Precision Score
3481
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | June 20 2025 03:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 10-core X1P64100 @ 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 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (HP)
|
100% |
1784
331.8 IPS |
|
|
Image Classification (Q)
|
99% |
4561
850.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1743
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2518
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3875
4.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
9747
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
99% |
784
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
2476
199.0 IPS |
|
|
Face Detection (SP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
5175
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1148
8.84 IPS |
|
|
Depth Estimation (HP)
|
98% |
1451
11.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
5208
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5460
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
5601
7.20 IPS |
|
|
Style Transfer (Q)
|
98% |
15363
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2003
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
432
577.1 IPS |
|
|
Text Classification (Q)
|
97% |
903
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
99% |
1416
24.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1820
36.6 IPS |
