Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1818
Single Precision Score
16481
Half Precision Score
39671
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | tocomcc |
| Upload Date | December 10 2025 04:44 AM |
| Views | 19 |
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% |
656
121.9 IPS |
|
|
Image Classification (HP)
|
100% |
10347
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
17888
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8240
133.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22677
368.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5136
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
72011
84.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
248743
291.6 IPS |
|
|
Object Detection (SP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (HP)
|
100% |
11460
909.0 IPS |
|
|
Object Detection (Q)
|
92% |
21140
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
24980
296.8 IPS |
|
|
Face Detection (Q)
|
97% |
70965
846.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2151
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42471
327.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
105457
841.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16688
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54139
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
253608
327.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28624
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57877
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
880
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (Q)
|
95% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (Q)
|
67% |
10065
195.9 IPS |
