Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
967
Single Precision Score
13508
Half Precision Score
30805
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 25 2025 06:39 AM |
| 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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
9195
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
12742
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
7579
122.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19491
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5044
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
68291
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205842
241.3 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
9315
738.8 IPS |
|
|
Object Detection (Q)
|
92% |
19752
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
18346
218.0 IPS |
|
|
Face Detection (Q)
|
97% |
54564
650.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
38127
293.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
89965
718.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4935
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
52155
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
227671
293.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26624
983.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42217
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
478
637.7 IPS |
|
|
Text Classification (HP)
|
100% |
1592
2.13 KIPS |
|
|
Text Classification (Q)
|
95% |
3097
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (Q)
|
67% |
5216
101.5 IPS |
