Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1679
Single Precision Score
2862
Half Precision Score
5642
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | ptmeza |
| Upload Date | February 26 2026 06:49 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 | ChrisTitus - Ultimate Power Plan |
| 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% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
2096
389.8 IPS |
|
|
Image Classification (Q)
|
99% |
3673
685.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7646
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6148
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9020
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
17499
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (HP)
|
99% |
2091
166.4 IPS |
|
|
Object Detection (Q)
|
86% |
4172
335.3 IPS |
|
|
Face Detection (SP)
|
100% |
1662
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
6552
77.9 IPS |
|
|
Face Detection (Q)
|
97% |
9095
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1979
15.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3428
26.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
11085
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15213
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11102
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34276
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2557
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
484
646.4 IPS |
|
|
Text Classification (Q)
|
97% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2002
34.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2106
42.3 IPS |
